{"id":"https://openalex.org/W2884631647","doi":"https://doi.org/10.48550/arxiv.1807.10328","title":"Selective Clustering Annotated using Modes of Projections","display_name":"Selective Clustering Annotated using Modes of Projections","publication_year":2018,"publication_date":"2018-07-26","ids":{"openalex":"https://openalex.org/W2884631647","doi":"https://doi.org/10.48550/arxiv.1807.10328","mag":"2884631647"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1807.10328","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.10328","pdf_url":"https://arxiv.org/pdf/1807.10328","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1807.10328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057193188","display_name":"Evan Greene","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Greene, Evan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069196767","display_name":"Greg Finak","orcid":"https://orcid.org/0000-0003-4341-9090","observed_orcids":["https://orcid.org/0000-0003-4341-9090"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Finak, Greg","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005741024","display_name":"Rapha\u00ebl Gottardo","orcid":"https://orcid.org/0000-0002-3867-0232","observed_orcids":["https://orcid.org/0000-0002-3867-0232"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gottardo, Raphael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.5214999914169312,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.5214999914169312,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.47749999165534973,"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"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scamp","display_name":"SCAMP","score":0.8080000281333923},{"id":"https://openalex.org/keywords/dip-test","display_name":"dip test","score":0.7279999852180481},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.7129999995231628},{"id":"https://openalex.org/keywords/preference-functions","display_name":"preference functions","score":0.4909999966621399},{"id":"https://openalex.org/keywords/mixture-composition","display_name":"mixture composition","score":0.4000000059604645}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6228268146514893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44892024993896484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31474167108535767}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1807.10328","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.10328","pdf_url":"https://arxiv.org/pdf/1807.10328","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1807.10328","doi":"https://doi.org/10.48550/arxiv.1807.10328","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1807.10328","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1807.10328","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.10328","pdf_url":"https://arxiv.org/pdf/1807.10328","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W101836494","https://openalex.org/W1481794564","https://openalex.org/W1493454437","https://openalex.org/W1529320607","https://openalex.org/W1584683589","https://openalex.org/W1886306325","https://openalex.org/W1965575573","https://openalex.org/W1974723965","https://openalex.org/W1976142330","https://openalex.org/W1977556410","https://openalex.org/W1977989101","https://openalex.org/W1997817740","https://openalex.org/W2001619934","https://openalex.org/W2003144493","https://openalex.org/W2007077266","https://openalex.org/W2011430131","https://openalex.org/W2011832962","https://openalex.org/W2011865729","https://openalex.org/W2033403400","https://openalex.org/W2040313973","https://openalex.org/W2043826266","https://openalex.org/W2048675583","https://openalex.org/W2049633694","https://openalex.org/W2053138484","https://openalex.org/W2055747151","https://openalex.org/W2066617873","https://openalex.org/W2076085859","https://openalex.org/W2079817125","https://openalex.org/W2082503527","https://openalex.org/W2085487226","https://openalex.org/W2086104696","https://openalex.org/W2093328450","https://openalex.org/W2117242571","https://openalex.org/W2119436275","https://openalex.org/W2120636855","https://openalex.org/W2137799805","https://openalex.org/W2137971377","https://openalex.org/W2143885411","https://openalex.org/W2153040915","https://openalex.org/W2157305458","https://openalex.org/W2160555827","https://openalex.org/W2160642098","https://openalex.org/W2162894628","https://openalex.org/W2165232124","https://openalex.org/W2187089797","https://openalex.org/W2234763457","https://openalex.org/W2259960159","https://openalex.org/W2267078244","https://openalex.org/W2521641889","https://openalex.org/W2522328784","https://openalex.org/W2549601578","https://openalex.org/W2762349056","https://openalex.org/W2791559636","https://openalex.org/W2913066018","https://openalex.org/W2963328867","https://openalex.org/W2976826970","https://openalex.org/W3101087186","https://openalex.org/W3103301362"],"related_works":["https://openalex.org/W2746364650","https://openalex.org/W1621347980","https://openalex.org/W2314899545","https://openalex.org/W7095522257","https://openalex.org/W2085849439","https://openalex.org/W2099058255","https://openalex.org/W2918013470","https://openalex.org/W7212328404","https://openalex.org/W2963024636","https://openalex.org/W2131471436"],"abstract_inverted_index":{"Selective":[0],"clustering":[1,11,41,177],"annotated":[2],"using":[3],"modes":[4],"of":[5,23,25,50,58,69,72,75,92,96,168,176],"projections":[6],"(SCAMP)":[7],"is":[8,18,54,60,101,194],"a":[9,32,43,62,115,163,174],"new":[10],"algorithm":[12],"for":[13],"data":[14,77,165,185],"in":[15],"$\\mathbb{R}^p$.":[16],"SCAMP":[17,39,63,70,137,156],"motivated":[19],"from":[20],"the":[21,56,76,93,105,123],"point":[22],"view":[24],"non-parametric":[26],"mixture":[27,124],"modeling.":[28],"Rather":[29],"than":[30],"maximizing":[31],"classification":[33],"likelihood":[34],"to":[35,103,131,152,183],"determine":[36],"cluster":[37,113,143],"assignments,":[38],"casts":[40],"as":[42],"search":[44,67],"and":[45,98,181],"selection":[46],"problem.":[47],"One":[48],"consequence":[49],"this":[51],"problem":[52],"formulation":[53],"that":[55,82,118,146],"number":[57],"clusters":[59],"$\\textbf{not}$":[61],"tuning":[64],"parameter.":[65],"The":[66],"phase":[68],"consists":[71],"finding":[73],"sub-collections":[74],"matrix,":[78],"called":[79],"candidate":[80,112],"clusters,":[81],"obey":[83],"shape":[84],"constraints":[85],"along":[86],"each":[87,111,141],"coordinate":[88],"projection.":[89],"An":[90],"extension":[91],"dip":[94],"test":[95],"Hartigan":[97,99],"(1985)":[100],"developed":[102],"assist":[104],"search.":[106],"Selection":[107],"occurs":[108],"by":[109,128,139],"scoring":[110],"with":[114,144,191],"preference":[116,135],"function":[117],"quantifies":[119],"prior":[120],"belief":[121],"about":[122],"composition.":[125],"Clustering":[126],"proceeds":[127],"selecting":[129],"candidates":[130],"maximize":[132],"their":[133],"total":[134],"score.":[136],"concludes":[138],"annotating":[140],"selected":[142],"labels":[145],"describe":[147],"how":[148],"cluster-level":[149],"statistics":[150],"compare":[151],"certain":[153],"dataset-level":[154],"quantities.":[155],"can":[157],"be":[158],"run":[159],"multiple":[160],"times":[161],"on":[162],"single":[164],"matrix.":[166],"Comparison":[167],"annotations":[169],"obtained":[170],"across":[171],"iterations":[172],"provides":[173],"measure":[175],"uncertainty.":[178],"Simulation":[179],"studies":[180],"applications":[182],"real":[184],"are":[186],"considered.":[187],"A":[188],"C++":[189],"implementation":[190],"R":[192],"interface":[193],"$\\href{https://github.com/RGLab/scamp}{available\\":[195],"online}$.":[196]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2018-08-03T00:00:00"}