{"id":"https://openalex.org/W3120957259","doi":"https://doi.org/10.1109/icspcs50536.2020.9310038","title":"Gravity Inspired Clustering Algorithm","display_name":"Gravity Inspired Clustering Algorithm","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3120957259","doi":"https://doi.org/10.1109/icspcs50536.2020.9310038","mag":"3120957259"},"language":"en","primary_location":{"id":"doi:10.1109/icspcs50536.2020.9310038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs50536.2020.9310038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006099964","display_name":"Imran Mohammed","orcid":"https://orcid.org/0000-0002-4422-9734"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Imran Mohammed","raw_affiliation_strings":["School of Engineering, Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033728735","display_name":"Iain B. Collings","orcid":"https://orcid.org/0000-0002-4857-2601"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Iain B. Collings","raw_affiliation_strings":["School of Engineering, Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033806253","display_name":"Stephen V. Hanly","orcid":"https://orcid.org/0000-0002-0524-9927"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stephen V. Hanly","raw_affiliation_strings":["School of Engineering, Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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/T10057","display_name":"Face and Expression Recognition","score":0.9901000261306763,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.77280592918396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6096791625022888},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5975744128227234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.597392737865448},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5663923621177673},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5475314259529114},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5044790506362915},{"id":"https://openalex.org/keywords/newtonian-fluid","display_name":"Newtonian fluid","score":0.4387734532356262},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2769601345062256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2506439983844757},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.21522089838981628},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12589818239212036},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10636517405509949}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.77280592918396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6096791625022888},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5975744128227234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.597392737865448},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5663923621177673},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5475314259529114},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5044790506362915},{"id":"https://openalex.org/C294558","wikidata":"https://www.wikidata.org/wiki/Q366968","display_name":"Newtonian fluid","level":2,"score":0.4387734532356262},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2769601345062256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2506439983844757},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.21522089838981628},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12589818239212036},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10636517405509949},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcs50536.2020.9310038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs50536.2020.9310038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1128809682","https://openalex.org/W1466719059","https://openalex.org/W1552877237","https://openalex.org/W1971784203","https://openalex.org/W1992419399","https://openalex.org/W1995450389","https://openalex.org/W2030861757","https://openalex.org/W2088087163","https://openalex.org/W2150593711","https://openalex.org/W2153233077","https://openalex.org/W2319660501","https://openalex.org/W6633419856"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W1925461966"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,22,31,43],"new":[4],"clustering":[5],"algorithm":[6,88],"inspired":[7,45],"by":[8],"Newtonian":[9,44],"gravity":[10],"that":[11,79],"iteratively":[12],"groups":[13],"data":[14],"and":[15,29,52,77],"eliminates":[16],"outliers.":[17],"In":[18],"particular,":[19],"we":[20],"impose":[21],"grid":[23,38],"over":[24],"the":[25,50,56,59,63],"region":[26],"of":[27,49,58,82,92],"interest":[28],"define":[30],"particle":[32],"with":[33,74],"data-dependent":[34],"mass":[35],"for":[36],"each":[37,48],"square.":[39],"We":[40,61,71],"then":[41],"calculate":[42],"force":[46],"on":[47],"particles":[51],"move":[53],"them":[54],"in":[55,80],"direction":[57],"force.":[60],"repeat":[62],"process":[64],"until":[65],"there":[66],"is":[67],"no":[68],"further":[69],"movement.":[70],"compare":[72],"performance":[73],"existing":[75],"algorithms":[76],"show":[78],"cases":[81],"medium":[83],"to":[84],"high":[85],"clutter,":[86],"our":[87],"has":[89],"an":[90],"order":[91],"magnitude":[93],"lower":[94],"estimation":[95],"error.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
