{"id":"https://openalex.org/W3040902422","doi":"https://doi.org/10.13053/cys-24-2-3369","title":"Comparison of Clustering Algorithms in Text Clustering Tasks","display_name":"Comparison of Clustering Algorithms in Text Clustering Tasks","publication_year":2020,"publication_date":"2020-06-30","ids":{"openalex":"https://openalex.org/W3040902422","doi":"https://doi.org/10.13053/cys-24-2-3369","mag":"3040902422"},"language":"es","primary_location":{"id":"doi:10.13053/cys-24-2-3369","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-24-2-3369","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-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/A5005247844","display_name":"Rafael Garc\u00eda","orcid":"https://orcid.org/0000-0001-5085-3501"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Rafael Gallardo Garc\u00eda","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico"],"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012040249","display_name":"Beatr\u00edz Beltr\u00e1n","orcid":"https://orcid.org/0000-0003-4528-4222"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Beatriz Beltr\u00e1n","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico"],"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052100151","display_name":"Darnes Vilari\u00f1o","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Darnes Vilari\u00f1o","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico"],"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109236252","display_name":"Claudia Zepeda","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Claudia Zepeda","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico"],"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101938365","display_name":"Rodolfo Mart\u00ednez","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Rodolfo Mart\u00ednez","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico"],"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla,  Mexico","institution_ids":["https://openalex.org/I721619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005247844"],"corresponding_institution_ids":["https://openalex.org/I721619"],"apc_list":null,"apc_paid":null,"fwci":0.6628,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75656854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9970999956130981,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8590711355209351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627933144569397},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.590986430644989},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5266504287719727},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5152278542518616},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5011005401611328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5004947185516357},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.49883437156677246},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.498624324798584},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4679262638092041},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4658433198928833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46549615263938904},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.46090587973594666},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44703662395477295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4392060935497284},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4301700294017792},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.4247342348098755},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.42273780703544617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3889171779155731},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.37480634450912476}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8590711355209351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627933144569397},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.590986430644989},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5266504287719727},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5152278542518616},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5011005401611328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5004947185516357},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.49883437156677246},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.498624324798584},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4679262638092041},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4658433198928833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46549615263938904},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.46090587973594666},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44703662395477295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4392060935497284},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4301700294017792},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.4247342348098755},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.42273780703544617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3889171779155731},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.37480634450912476},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13053/cys-24-2-3369","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-24-2-3369","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1651093245","https://openalex.org/W1736726159","https://openalex.org/W1994107727","https://openalex.org/W2054274648","https://openalex.org/W2057923756","https://openalex.org/W2073459066","https://openalex.org/W2144211451","https://openalex.org/W2150593711","https://openalex.org/W2165232124"],"related_works":["https://openalex.org/W4390349266","https://openalex.org/W3170122200","https://openalex.org/W3008856892","https://openalex.org/W3109760095","https://openalex.org/W2035503345","https://openalex.org/W4240717064","https://openalex.org/W4214728210","https://openalex.org/W3005912893","https://openalex.org/W4296225861","https://openalex.org/W167782738"],"abstract_inverted_index":{"The":[0,20,52,64],"purpose":[1],"of":[2,12,93],"this":[3],"paper":[4,85],"is":[5,114],"to":[6,36],"compare":[7],"the":[8,27,58,62,70,87,94,100,104],"performance":[9],"and":[10,45,73,99,111],"accuracy":[11],"several":[13],"clustering":[14,18,65],"algorithms":[15,76],"in":[16,34,42,89],"text":[17,21,44],"tasks.":[19],"preprocessing":[22],"were":[23,67,77],"realized":[24,68],"by":[25,103],"using":[26],"Term":[28],"Frequency":[29,33],"-":[30],"Inverse":[31],"Document":[32],"order":[35],"obtain":[37,47],"weights":[38,48],"for":[39,49],"each":[40,43,50],"word":[41],"then":[46],"text.":[51],"Cosine":[53],"Similarity":[54],"was":[55],"used":[56],"as":[57],"similarity":[59],"measure":[60],"between":[61],"texts.":[63],"tasks":[66],"over":[69],"PAN":[71],"dataset":[72],"three":[74],"different":[75],"used:":[78],"Affinity":[79],"Propagation,":[80],"K-Meansand":[81],"Spectral":[82],"Clustering.":[83],"This":[84],"presents":[86],"results":[88],"comparative":[90],"tables:":[91],"ID":[92],"task,":[95],"ground":[96],"truth":[97],"clusters":[98,101],"generated":[102],"algorithms.":[105],"A":[106],"table":[107],"with":[108],"precision,":[109],"recall":[110],"f-measure":[112],"scores":[113],"presented.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
