{"id":"https://openalex.org/W2902488229","doi":"https://doi.org/10.1109/icpr.2018.8545519","title":"Approximate Cluster Heat Maps of Large High-Dimensional Data","display_name":"Approximate Cluster Heat Maps of Large High-Dimensional Data","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902488229","doi":"https://doi.org/10.1109/icpr.2018.8545519","mag":"2902488229"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Approximate_cluster_heat_maps_of_large_high-dimensional_data/20776111","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001120317","display_name":"Punit Rathore","orcid":"https://orcid.org/0000-0003-4835-4556"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Punit Rathore","raw_affiliation_strings":["Department of Electrical and Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043324448","display_name":"James C. Bezdek","orcid":"https://orcid.org/0000-0003-3901-7021"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"James C. Bezdek","raw_affiliation_strings":["School of Computing and Information Systems, The University of Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems, The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101902644","display_name":"Dheeraj Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dheeraj Kumar","raw_affiliation_strings":["Lyles School of Civil Engineering, Purdue University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lyles School of Civil Engineering, Purdue University, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050131132","display_name":"Sutharshan Rajasegarar","orcid":"https://orcid.org/0000-0002-6559-6736"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sutharshan Rajasegarar","raw_affiliation_strings":["School of Information Technology, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080554686","display_name":"Marimuthu Palaniswami","orcid":"https://orcid.org/0000-0002-3635-4252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marimuthu Palaniswami","raw_affiliation_strings":["Department of Electrical and Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983000159263611,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983000159263611,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9937999844551086,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.8001804351806641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7685057520866394},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.648605227470398},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5513536334037781},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44108420610427856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.351942241191864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3204299211502075},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13470175862312317}],"concepts":[{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.8001804351806641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685057520866394},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.648605227470398},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5513536334037781},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44108420610427856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.351942241191864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3204299211502075},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13470175862312317},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2018.8545519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30119261","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20776111","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Approximate_cluster_heat_maps_of_large_high-dimensional_data/20776111","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20776111","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Approximate_cluster_heat_maps_of_large_high-dimensional_data/20776111","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1490682695","https://openalex.org/W1501203582","https://openalex.org/W1971784203","https://openalex.org/W1989634533","https://openalex.org/W1990368529","https://openalex.org/W2000889749","https://openalex.org/W2004809514","https://openalex.org/W2012875932","https://openalex.org/W2048442462","https://openalex.org/W2066182660","https://openalex.org/W2072358441","https://openalex.org/W2087294548","https://openalex.org/W2123401774","https://openalex.org/W2127247753","https://openalex.org/W2151297804","https://openalex.org/W2168457746","https://openalex.org/W2170590171","https://openalex.org/W2319660501","https://openalex.org/W2468293808","https://openalex.org/W3120740533","https://openalex.org/W4240115822","https://openalex.org/W6629126664"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2051487156","https://openalex.org/W2910064364","https://openalex.org/W4200136508"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,18,31,50,84,89,112,124],"determining":[3,64],"whether":[4],"clusters":[5,51],"are":[6],"present":[7],"in":[8,54,63,68,155],"numerical":[9],"data":[10,127],"(tendency":[11],"assessment)":[12],"is":[13,27,160],"an":[14,41],"important":[15],"first":[16],"step":[17],"cluster":[19,24,66,118],"analysis.":[20],"One":[21],"tool":[22],"for":[23,77,102,121],"tendency":[25,32],"assessment":[26,30],"the":[28,48,55],"visual":[29,45],"(VAT)":[33],"algorithm.":[34],"VAT":[35,38],"and":[36,159],"improved":[37],"(iVAT)":[39],"produce":[40],"image":[42],"that":[43,147],"provides":[44],"evidence":[46],"about":[47],"number":[49,83],"to":[52,152],"seek":[53],"original":[56],"dataset.":[57],"These":[58],"methods":[59],"have":[60],"been":[61],"successful":[62],"potential":[65],"structure":[67],"various":[69],"datasets,":[70],"but":[71,96],"they":[72],"can":[73,98],"be":[74,99],"computationally":[75,100],"expensive":[76,101],"datasets":[78],"with":[79,136],"a":[80,110,156],"very":[81],"large":[82,122],"samples.":[85],"A":[86],"scalable":[87],"version":[88],"iVAT":[90,94],"called":[91,114],"siVAT":[92,97,113,137,153],"approximates":[93,117],"images,":[95],"big":[103],"datasets.":[104,143],"In":[105],"this":[106],"article,":[107],"we":[108],"introduce":[109],"modification":[111],"siVAT+":[115,135,148],"which":[116],"heat":[119],"maps":[120],"volumes":[123],"high":[125,141],"dimensional":[126,142],"much":[128],"more":[129],"rapidly":[130],"than":[131,166],"siVAT.":[132,167],"We":[133],"compare":[134],"on":[138],"six":[139],"large,":[140],"Experimental":[144],"results":[145],"confirm":[146],"obtains":[149],"images":[150,154],"similar":[151],"few":[157],"seconds,":[158],"8":[161],"-":[162],"55":[163],"times":[164],"faster":[165]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
