{"id":"https://openalex.org/W2011045581","doi":"https://doi.org/10.1109/bigdata.2013.6691729","title":"Distributed Pivot Clustering with arbitrary distance functions","display_name":"Distributed Pivot Clustering with arbitrary distance functions","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2011045581","doi":"https://doi.org/10.1109/bigdata.2013.6691729","mag":"2011045581"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085914374","display_name":"L. Karl Branting","orcid":"https://orcid.org/0000-0002-9362-495X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"L. Karl Branting","raw_affiliation_strings":["7525 Colshire Drive, McLean, Virginia, USA"],"affiliations":[{"raw_affiliation_string":"7525 Colshire Drive, McLean, Virginia, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085914374"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75047715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"21","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.833712100982666},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.8256505131721497},{"id":"https://openalex.org/keywords/triangle-inequality","display_name":"Triangle inequality","score":0.7872282266616821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5865910649299622},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5472972393035889},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47608938813209534},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47509944438934326},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.4660303294658661},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.449537992477417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4253947138786316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41567927598953247},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.37445712089538574},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.30018073320388794},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2089572250843048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1773134171962738}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.833712100982666},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8256505131721497},{"id":"https://openalex.org/C182964748","wikidata":"https://www.wikidata.org/wiki/Q208216","display_name":"Triangle inequality","level":2,"score":0.7872282266616821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5865910649299622},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5472972393035889},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47608938813209534},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47509944438934326},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.4660303294658661},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.449537992477417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4253947138786316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41567927598953247},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.37445712089538574},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.30018073320388794},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2089572250843048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1773134171962738},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2013.6691729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1502876877","https://openalex.org/W1548297671","https://openalex.org/W1840338487","https://openalex.org/W1902405276","https://openalex.org/W1994529543","https://openalex.org/W2036216970","https://openalex.org/W2038044292","https://openalex.org/W2070162726","https://openalex.org/W2109215439","https://openalex.org/W2113227740","https://openalex.org/W2147706904","https://openalex.org/W2167081989","https://openalex.org/W6630168939","https://openalex.org/W6676298525","https://openalex.org/W6681595560"],"related_works":["https://openalex.org/W2384052049","https://openalex.org/W2367205823","https://openalex.org/W2393816671","https://openalex.org/W2376412895","https://openalex.org/W4220814143","https://openalex.org/W2087424554","https://openalex.org/W2367377022","https://openalex.org/W2131625050","https://openalex.org/W2293953271","https://openalex.org/W2896827084"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"an":[3,21],"algorithm,":[4],"Distributed":[5],"Pivot":[6],"Clustering":[7],"(DPC),":[8],"that":[9,17,30,49,86,97],"differs":[10],"from":[11],"prior":[12],"distributed":[13,92],"clustering":[14,95],"algorithms":[15],"in":[16,34],"it":[18],"requires":[19,47],"neither":[20],"inexpensive":[22],"approximation":[23],"of":[24,32,59,71],"the":[25,35,50,54,64,98],"actual":[26],"distance":[27,51,76],"function":[28,52],"nor":[29],"pairs":[31],"elements":[33],"same":[36],"cluster":[37],"share":[38],"at":[39],"least":[40],"one":[41],"exact":[42],"feature":[43],"value.":[44],"Instead,":[45],"DPC":[46,87],"only":[48],"satisfy":[53],"triangle":[55,99],"inequality":[56,100],"and":[57,101],"be":[58,67],"sufficiently":[60],"high-granularity":[61],"to":[62,66,77,90],"permit":[63],"data":[65],"partitioned":[68],"into":[69],"canopies":[70],"optimal":[72],"size":[73],"based":[74],"on":[75],"reference":[78],"elements,":[79],"or":[80],"pivots.":[81],"An":[82],"empirical":[83],"evaluation":[84],"demonstrated":[85],"can":[88],"lead":[89],"accurate":[91],"hierarchical":[93],"agglomerative":[94],"provided":[96],"granularity":[102],"requirements":[103],"are":[104],"met.":[105]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
