{"id":"https://openalex.org/W2083457493","doi":"https://doi.org/10.1145/2037715.2037812","title":"Revisiting the k-means algorithm for fast trajectory segmentation","display_name":"Revisiting the k-means algorithm for fast trajectory segmentation","publication_year":2011,"publication_date":"2011-08-07","ids":{"openalex":"https://openalex.org/W2083457493","doi":"https://doi.org/10.1145/2037715.2037812","mag":"2083457493"},"language":"en","primary_location":{"id":"doi:10.1145/2037715.2037812","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2037715.2037812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2011 Posters","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/A5017930924","display_name":"Luis A. Leiva","orcid":"https://orcid.org/0000-0002-5011-1847"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Luis A. Leiva","raw_affiliation_strings":["Universitat Polit\u00e8cnica de Val\u00e8ncia","UNIVERSITAT  POLITECNICA DE VALENCIA"],"affiliations":[{"raw_affiliation_string":"Universitat Polit\u00e8cnica de Val\u00e8ncia","institution_ids":["https://openalex.org/I60053951"]},{"raw_affiliation_string":"UNIVERSITAT  POLITECNICA DE VALENCIA","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073107684","display_name":"Enrique Vidal","orcid":"https://orcid.org/0000-0003-4579-5196"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Enrique Vidal","raw_affiliation_strings":["Universitat Polit\u00e8cnica de Val\u00e8ncia","UNIVERSITAT  POLITECNICA DE VALENCIA"],"affiliations":[{"raw_affiliation_string":"Universitat Polit\u00e8cnica de Val\u00e8ncia","institution_ids":["https://openalex.org/I60053951"]},{"raw_affiliation_string":"UNIVERSITAT  POLITECNICA DE VALENCIA","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017930924"],"corresponding_institution_ids":["https://openalex.org/I60053951"],"apc_list":null,"apc_paid":null,"fwci":0.6125,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66777563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9988999962806702,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.7911442518234253},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7287782430648804},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5747642517089844},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5669810771942139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424168705940247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.541724681854248},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5273628830909729},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.5098552107810974},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4690088927745819},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4431125223636627},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4398876428604126},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4398239552974701},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38329339027404785},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.1642622947692871},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11958232522010803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911442518234253},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7287782430648804},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5747642517089844},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5669810771942139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424168705940247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.541724681854248},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5273628830909729},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.5098552107810974},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4690088927745819},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4431125223636627},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4398876428604126},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4398239552974701},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38329339027404785},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.1642622947692871},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11958232522010803},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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:10.1145/2037715.2037812","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2037715.2037812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2011 Posters","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2150593711","https://openalex.org/W2160784155","https://openalex.org/W2799061466"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2164162849"],"abstract_inverted_index":{"Many":[0],"problems":[1],"in":[2,9,74,98,108],"Computer":[3],"Science":[4],"require":[5],"a":[6,62,82,92,99,129],"trajectory":[7],"segmentation,":[8],"part":[10],"due":[11],"to":[12,35,86],"the":[13,37,40,103,109],"notably":[14],"huge":[15],"spectrum":[16],"of":[17,39],"devices":[18],"that":[19,43,95],"capture":[20],"sequentially-generated":[21],"information":[22],"(e.g.,":[23,131],"motion":[24],"sensors,":[25],"video":[26],"cameras,":[27],"RFID":[28],"tags,":[29],"eye":[30],"trackers,":[31],"etc.)":[32],"Segmentation":[33],"leads":[34],"simplify":[36],"structure":[38],"data,":[41],"so":[42],"original":[44],"objects":[45],"can":[46,58,78,96,122],"be":[47,59,79,123],"divided":[48],"into":[49,68],"smaller,":[50],"more":[51],"compact":[52],"structures.":[53],"Seen":[54],"this":[55],"way,":[56],"segmentation":[57],"approached":[60],"as":[61,81,115],"compression":[63],"technique,":[64],"i.e.,":[65],"organizing":[66],"trajectories":[67],"segments":[69],"whose":[70],"members":[71],"are":[72],"similar":[73],"some":[75],"way.":[76],"This":[77],"solved":[80],"clustering":[83],"problem.":[84],"Unfortunately,":[85],"date":[87],"we":[88],"have":[89],"not":[90],"found":[91],"suitable":[93],"method":[94],"tap":[97],"really":[100],"simple":[101],"way":[102],"temporal":[104],"constraint":[105],"implicitly":[106],"embedded":[107],"data.":[110],"Moreover,":[111],"near-optimal":[112],"solutions":[113],"such":[114],"kernel":[116],"methods":[117],"or":[118],"hidden":[119],"Markov":[120],"models":[121],"prohibitive":[124],"if":[125],"processing":[126],"power":[127],"is":[128],"restriction":[130],"on":[132],"mobile":[133],"devices).":[134]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
