{"id":"https://openalex.org/W2530800035","doi":"https://doi.org/10.2312/cgvc.20161288","title":"MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data","display_name":"MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2530800035","doi":"https://doi.org/10.2312/cgvc.20161288","mag":"2530800035"},"language":"en","primary_location":{"id":"pmh:oai:napier-surface.worktribe.com:382443","is_oa":true,"landing_page_url":"https://napier-surface.worktribe.com/382443/1/MLcut%3A%20exploring%20multi-level%20cutes%20in%20dendrograms%20for%20biological%20data.","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://napier-surface.worktribe.com/382443/1/MLcut%3A%20exploring%20multi-level%20cutes%20in%20dendrograms%20for%20biological%20data.","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044073507","display_name":"Athanasios Vogogias","orcid":"https://orcid.org/0000-0002-5785-3958"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vogogias, Athanasios","raw_affiliation_strings":["[Edinburgh Napier University, United Kingdom]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Edinburgh Napier University, United Kingdom]","institution_ids":["https://openalex.org/I251738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076694922","display_name":"Jessie Kennedy","orcid":"https://orcid.org/0000-0002-0023-2595"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kennedy, Jessie","raw_affiliation_strings":["[Edinburgh Napier University, United Kingdom]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Edinburgh Napier University, United Kingdom]","institution_ids":["https://openalex.org/I251738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039929397","display_name":"Daniel Archambault","orcid":"https://orcid.org/0000-0003-4978-8479"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Archambault, Daniel","raw_affiliation_strings":["Swansea University United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swansea University United Kingdom","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057905110","display_name":"V. Anne Smith","orcid":"https://orcid.org/0000-0002-0487-2469"},"institutions":[{"id":"https://openalex.org/I16835326","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54","country_code":"GB","type":"education","lineage":["https://openalex.org/I16835326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Smith, V. Anne","raw_affiliation_strings":["Univ of St Andrews (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ of St Andrews (United Kingdom)","institution_ids":["https://openalex.org/I16835326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062666956","display_name":"Hannah Currant","orcid":"https://orcid.org/0000-0003-2764-6787"},"institutions":[{"id":"https://openalex.org/I16835326","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54","country_code":"GB","type":"education","lineage":["https://openalex.org/I16835326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Currant, Hannah","raw_affiliation_strings":["Univ of St Andrews (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ of St Andrews (United Kingdom)","institution_ids":["https://openalex.org/I16835326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7045,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83539462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dendrogram","display_name":"Dendrogram","score":0.908847451210022},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6974698901176453},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6733471155166626},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6664034724235535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434813737869263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5326991081237793},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4840802252292633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47055649757385254},{"id":"https://openalex.org/keywords/hierarchical-clustering-of-networks","display_name":"Hierarchical clustering of networks","score":0.4506998062133789},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42669111490249634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4053983986377716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2755976915359497},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.14974230527877808},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14288946986198425},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.09143292903900146},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.08989092707633972}],"concepts":[{"id":"https://openalex.org/C172312944","wikidata":"https://www.wikidata.org/wiki/Q1957903","display_name":"Dendrogram","level":4,"score":0.908847451210022},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6974698901176453},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6733471155166626},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6664034724235535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434813737869263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5326991081237793},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4840802252292633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47055649757385254},{"id":"https://openalex.org/C82261393","wikidata":"https://www.wikidata.org/wiki/Q17038699","display_name":"Hierarchical clustering of networks","level":5,"score":0.4506998062133789},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42669111490249634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4053983986377716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2755976915359497},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.14974230527877808},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14288946986198425},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.09143292903900146},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.08989092707633972},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C81977670","wikidata":"https://www.wikidata.org/wiki/Q585259","display_name":"Genetic diversity","level":3,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:napier-surface.worktribe.com:382443","is_oa":true,"landing_page_url":"https://napier-surface.worktribe.com/382443/1/MLcut%3A%20exploring%20multi-level%20cutes%20in%20dendrograms%20for%20biological%20data.","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"doi:10.2312/cgvc.20161288","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20161288","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:napier-surface.worktribe.com:382443","is_oa":true,"landing_page_url":"https://napier-surface.worktribe.com/382443/1/MLcut%3A%20exploring%20multi-level%20cutes%20in%20dendrograms%20for%20biological%20data.","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1861505052","https://openalex.org/W1887724846","https://openalex.org/W1964692421","https://openalex.org/W1992165506","https://openalex.org/W2002083291","https://openalex.org/W2009225872","https://openalex.org/W2020541351","https://openalex.org/W2024290096","https://openalex.org/W2030630092","https://openalex.org/W2062937620","https://openalex.org/W2068628468","https://openalex.org/W2074494141","https://openalex.org/W2075490230","https://openalex.org/W2101142880","https://openalex.org/W2102337314","https://openalex.org/W2102389916","https://openalex.org/W2105208377","https://openalex.org/W2105948057","https://openalex.org/W2114566476","https://openalex.org/W2115982342","https://openalex.org/W2131548207","https://openalex.org/W2132881639","https://openalex.org/W2135415614","https://openalex.org/W2141585940","https://openalex.org/W2142493242","https://openalex.org/W2146701314","https://openalex.org/W2155592099","https://openalex.org/W2156247618","https://openalex.org/W2156974804","https://openalex.org/W2158270456","https://openalex.org/W2162302147","https://openalex.org/W2163132655","https://openalex.org/W2165213086","https://openalex.org/W2167252678","https://openalex.org/W2170746618","https://openalex.org/W2172194140","https://openalex.org/W2276230609","https://openalex.org/W2552380909"],"related_works":["https://openalex.org/W2241140448","https://openalex.org/W1601646933","https://openalex.org/W2944105516","https://openalex.org/W2157530472","https://openalex.org/W2149472792","https://openalex.org/W3109901158","https://openalex.org/W1803344800","https://openalex.org/W2126321334","https://openalex.org/W3045362366","https://openalex.org/W2085264534","https://openalex.org/W2094308071","https://openalex.org/W2166947480","https://openalex.org/W1994754807","https://openalex.org/W2092306782","https://openalex.org/W3003728098","https://openalex.org/W2763925030","https://openalex.org/W2035714779","https://openalex.org/W3092481679","https://openalex.org/W2036912912","https://openalex.org/W2132631291"],"abstract_inverted_index":{"Choosing":[0],"a":[1,62,89,106,114,123,130,201,233],"single":[2],"similarity":[3,108],"threshold":[4,109,125],"for":[5,11,68,205,236],"cutting":[6],"dendrograms":[7,29,70],"is":[8,86,174,232],"not":[9],"sufficient":[10],"performing":[12],"hierarchical":[13],"clustering":[14,237],"analysis":[15,103],"of":[16,71,78,83,91,166,187,192,203],"heterogeneous":[17,72],"data":[18,37,52,73,160,209],"sets.":[19,210],"In":[20,40],"addition,":[21],"alternative":[22],"automated":[23],"or":[24],"semi-automated":[25],"methods":[26],"that":[27,64,137,213],"cut":[28,163,218],"in":[30,38,50,56,75,155,198,228],"multiple":[31,170,222],"levels":[32,77],"make":[33],"assumptions":[34],"about":[35],"the":[36,45,51,84,92,119,143,150,158,164,167,188,215,219,226,229],"hand.":[39],"an":[41],"attempt":[42],"to":[43,47,117,134,147,157,217,241],"help":[44],"user":[46,144],"find":[48],"patterns":[49],"and":[53,162,183],"resolve":[54],"ambiguities":[55],"cluster":[57],"assignments,":[58],"we":[59],"developed":[60,197],"MLCut:":[61],"tool":[63,100,194],"provides":[65],"visual":[66],"support":[67],"exploring":[69],"sets":[74],"different":[76],"detail.":[79],"The":[80,99],"interactive":[81],"exploration":[82],"dendrogram":[85,151],"coordinated":[87],"with":[88,200],"representation":[90],"original":[93,159,230],"data,":[94,231],"shown":[95],"as":[96,180],"parallel":[97],"coordinates.":[98],"supports":[101],"three":[102],"steps.":[104],"Firstly,":[105],"single-height":[107],"can":[110,126,145],"be":[111,127],"applied":[112,128],"using":[113,129,176],"dynamic":[115,132],"slider":[116,133],"identify":[118,135],"main":[120],"clusters.":[121,141],"Secondly,":[122],"distinctiveness":[124],"second":[131],"''weak-edges''":[136],"indicate":[138],"heterogeneity":[139],"within":[140],"Thirdly,":[142],"drill-down":[146,173],"further":[148],"explore":[149],"structure":[152],"-":[153,161],"always":[154],"relation":[156],"branches":[165],"tree":[168,220],"at":[169,221],"levels.":[171],"Interactive":[172],"supported":[175],"mouse":[177],"events":[178],"such":[179],"hovering,":[181],"pointing":[182],"clicking":[184],"on":[185],"elements":[186],"dendrogram.":[189],"Two":[190],"prototypes":[191],"this":[193],"have":[195],"been":[196],"collaboration":[199],"group":[202],"biologists":[204],"analysing":[206],"their":[207],"own":[208],"We":[211],"found":[212],"enabling":[214],"users":[216],"levels,":[223],"while":[224],"viewing":[225],"effect":[227],"promising":[234],"method":[235],"which":[238],"could":[239],"lead":[240],"scientific":[242],"discoveries.":[243]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
