{"id":"https://openalex.org/W2167119680","doi":"https://doi.org/10.1109/icdm.2002.1184004","title":"Neighborgram clustering. Interactive exploration of cluster neighborhoods","display_name":"Neighborgram clustering. Interactive exploration of cluster neighborhoods","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W2167119680","doi":"https://doi.org/10.1109/icdm.2002.1184004","mag":"2167119680"},"language":"en","primary_location":{"id":"doi:10.1109/icdm.2002.1184004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2002.1184004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE International Conference on Data Mining, 2002. Proceedings.","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/55cf16d1-2c83-4940-8431-a96c633a2c81/content","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035270195","display_name":"Michael R. Berthold","orcid":"https://orcid.org/0000-0001-9095-3283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M.R. Berthold","raw_affiliation_strings":["Data Analysis Research Laboratory, Tripos, Inc., San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Analysis Research Laboratory, Tripos, Inc., San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062308622","display_name":"Bernd Wiswedel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. Wiswedel","raw_affiliation_strings":["Data Analysis Research Laboratory, Tripos, Inc., San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Analysis Research Laboratory, Tripos, Inc., San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090635221","display_name":"David E. Patterson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D.E. Patterson","raw_affiliation_strings":["Data Analysis Research Laboratory, Tripos, Inc., San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Analysis Research Laboratory, Tripos, Inc., San Francisco, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5108,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.66459812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"581","last_page":"584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9882000088691711,"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":0.9882000088691711,"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":0.9745000004768372,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8550959229469299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7832355499267578},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6352392435073853},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6293942928314209},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5760037899017334},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.525793731212616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4860442280769348},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4682522714138031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.386199951171875},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08354222774505615}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8550959229469299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7832355499267578},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6352392435073853},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6293942928314209},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5760037899017334},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.525793731212616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4860442280769348},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4682522714138031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.386199951171875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08354222774505615},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icdm.2002.1184004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2002.1184004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE International Conference on Data Mining, 2002. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/5476","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-65672","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/55cf16d1-2c83-4940-8431-a96c633a2c81/content","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2002 IEEE International Conference on Data Mining, 2002. Proceedings.. IEEE Comput. Soc, 2002, S. 581-584. ISBN 0-7695-1754-4. Verf\u00fcgbar unter: doi: 10.1109/ICDM.2002.1184004","raw_type":"doc-type:conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.86.2320","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.2320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inf.uni-konstanz.de/bioml2/publications/Papers2002/BeWP02_ng_icdm.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:kops.uni-konstanz.de:123456789/5476","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-65672","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/55cf16d1-2c83-4940-8431-a96c633a2c81/content","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2002 IEEE International Conference on Data Mining, 2002. Proceedings.. IEEE Comput. Soc, 2002, S. 581-584. ISBN 0-7695-1754-4. Verf\u00fcgbar unter: doi: 10.1109/ICDM.2002.1184004","raw_type":"doc-type:conferenceObject"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2167119680.pdf","grobid_xml":"https://content.openalex.org/works/W2167119680.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W8319953","https://openalex.org/W178210587","https://openalex.org/W1602242617","https://openalex.org/W1976683819","https://openalex.org/W2004417280","https://openalex.org/W2115077250","https://openalex.org/W2120329225","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W6600318201"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W4298130764","https://openalex.org/W2789802309","https://openalex.org/W2027335291","https://openalex.org/W2804364458","https://openalex.org/W4210328553","https://openalex.org/W1980417906","https://openalex.org/W2594414941"],"abstract_inverted_index":{"We":[0,62],"describe":[1],"an":[2,47],"interactive":[3],"way":[4],"to":[5,29,66],"generate":[6,42],"a":[7,12],"set":[8],"of":[9],"clusters":[10,43,71],"for":[11,46],"given":[13],"data":[14,77],"set.":[15,78],"The":[16,37],"clustering":[17,51],"is":[18],"done":[19],"by":[20],"constructing":[21],"local":[22],"histograms,":[23],"which":[24],"can":[25,40],"then":[26],"be":[27],"used":[28],"visualize,":[30],"select,":[31],"and":[32,69],"fine-tune":[33],"potential":[34],"cluster":[35],"candidates.":[36],"accompanying":[38],"algorithm":[39],"also":[41],"automatically,":[44],"allowing":[45],"automatic":[48],"or":[49],"semi-automatic":[50],"process":[52],"where":[53],"the":[54,60,64],"user":[55],"only":[56],"occasionally":[57],"interacts":[58],"with":[59],"algorithm.":[61],"illustrate":[63],"ability":[65],"automatically":[67],"identify":[68],"visualize":[70],"using":[72],"NCI's":[73],"AIDS":[74],"Antiviral":[75],"Screen":[76]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}