{"id":"https://openalex.org/W1998346181","doi":"https://doi.org/10.1021/ci9802070","title":"Data Structure Comparison Using Box Counting Analysis","display_name":"Data Structure Comparison Using Box Counting Analysis","publication_year":1998,"publication_date":"1998-08-08","ids":{"openalex":"https://openalex.org/W1998346181","doi":"https://doi.org/10.1021/ci9802070","mag":"1998346181"},"language":"en","primary_location":{"id":"doi:10.1021/ci9802070","doi":"https://doi.org/10.1021/ci9802070","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci9802070","pdf_url":null,"source":{"id":"https://openalex.org/S171559003","display_name":"Journal of Chemical Information and Computer Sciences","issn_l":"0095-2338","issn":["0095-2338","1520-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Computer Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5110091510","display_name":"Yukio Tominaga","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31591830","display_name":"Sumitomo Dainippon Pharma (Japan)","ror":"https://ror.org/04sapgw72","country_code":"JP","type":"company","lineage":["https://openalex.org/I31591830"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yukio Tominaga","raw_affiliation_strings":["Department of Chemistry I, Discovery Research Laboratories I Dainippon Pharmaceutical Co., Ltd. Enoki 33-94, Suita, Osaka 564, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemistry I, Discovery Research Laboratories I Dainippon Pharmaceutical Co., Ltd. Enoki 33-94, Suita, Osaka 564, Japan","institution_ids":["https://openalex.org/I31591830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110091510"],"corresponding_institution_ids":["https://openalex.org/I31591830"],"apc_list":null,"apc_paid":null,"fwci":2.5034,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90174722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"38","issue":"5","first_page":"867","last_page":"875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.6601999998092651,"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":0.6601999998092651,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.0544000007212162,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.025299999862909317,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/data-structure-comparison","display_name":"data structure comparison","score":0.6499999761581421},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"hierarchical clustering","score":0.9649999737739563},{"id":"https://openalex.org/keywords/ward-clustering","display_name":"Ward clustering","score":0.7580000162124634},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.9800000190734863},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9700000286102295},{"id":"https://openalex.org/keywords/self-organizing-maps","display_name":"self-organizing maps","score":0.890999972820282},{"id":"https://openalex.org/keywords/sample-selection-methods","display_name":"sample selection methods","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6962171792984009},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6472640633583069},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5734035968780518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5653814673423767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5523527264595032},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5507371425628662},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5062729120254517},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4761224389076233},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4727626442909241},{"id":"https://openalex.org/C99008458","wikidata":"https://www.wikidata.org/wiki/Q4951583","display_name":"Box counting","level":5,"score":0.46708011627197266},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.41948843002319336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39502501487731934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3279339671134949},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.1619032621383667},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.10758224129676819},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08396846055984497},{"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/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.0},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.0},{"id":"https://openalex.org/C162494671","wikidata":"https://www.wikidata.org/wiki/Q2845227","display_name":"Fractal analysis","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1021/ci9802070","doi":"https://doi.org/10.1021/ci9802070","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci9802070","pdf_url":null,"source":{"id":"https://openalex.org/S171559003","display_name":"Journal of Chemical Information and Computer Sciences","issn_l":"0095-2338","issn":["0095-2338","1520-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1981214699","https://openalex.org/W1985781802","https://openalex.org/W1997589104","https://openalex.org/W2000376564","https://openalex.org/W2005685204","https://openalex.org/W2022701930","https://openalex.org/W2072598797","https://openalex.org/W2078206416","https://openalex.org/W2141807666","https://openalex.org/W2950212815","https://openalex.org/W2952541077","https://openalex.org/W3036512766","https://openalex.org/W4252521233","https://openalex.org/W4297974918"],"related_works":["https://openalex.org/W2288775314","https://openalex.org/W7171779217","https://openalex.org/W1999345637","https://openalex.org/W145971258","https://openalex.org/W2098513021","https://openalex.org/W7110538876","https://openalex.org/W1965534201","https://openalex.org/W159079147","https://openalex.org/W4413951515","https://openalex.org/W2088387982"],"abstract_inverted_index":{"Box":[0],"counting":[1,98],"analysis":[2],"was":[3],"performed":[4],"to":[5,36,89],"visualize":[6],"complex":[7],"data":[8,82],"structures":[9,83],"of":[10,70,84,91],"datasets.":[11,18],"Two":[12],"datasets":[13],"were":[14,34,42,87],"used":[15,35],"as":[16,43],"original":[17,93],"One":[19],"included":[20,26],"8000":[21],"samples":[22],"and":[23,78],"the":[24,92],"other":[25],"53":[27],"064":[28],"samples.":[29],"Nine":[30],"different":[31],"selection":[32,40],"methods":[33,41,66],"select":[37],"subsets.":[38],"The":[39,81],"follows:":[44],"maximum":[45,48],"dissimilarity":[46],"method,":[47,50,55,62],"similarity":[49],"group":[51],"averaging":[52],"hierarchical":[53,60],"clustering":[54,61,65],"reciprocal":[56],"nearest":[57],"neighbor":[58],"Ward":[59],"k-mean":[63],"nonhierarchical":[64],"with":[67],"two":[68],"types":[69],"seed":[71],"points,":[72],"Genetic":[73],"algorithms":[74],"(GAs),":[75],"Kohonen":[76],"networks,":[77],"cell-based":[79],"method.":[80],"selected":[85],"subsets":[86],"compared":[88],"that":[90],"dataset":[94],"by":[95],"using":[96],"box":[97],"analysis.":[99]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2016-06-24T00:00:00"}