{"id":"https://openalex.org/W2795313772","doi":"https://doi.org/10.1109/icce.2018.8326328","title":"Multiple feature instance detection with density based clustering","display_name":"Multiple feature instance detection with density based clustering","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2795313772","doi":"https://doi.org/10.1109/icce.2018.8326328","mag":"2795313772"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2018.8326328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2018.8326328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Consumer Electronics (ICCE)","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/A5024215102","display_name":"Onalenna J. Makhura","orcid":"https://orcid.org/0000-0001-9976-4497"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Onalenna J. Makhura","raw_affiliation_strings":["School of Computer Science and Electronics Engineering, University of Essex, Colchester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronics Engineering, University of Essex, Colchester, United Kingdom","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024866256","display_name":"John Woods","orcid":"https://orcid.org/0000-0002-9907-4733"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John C. Woods","raw_affiliation_strings":["School of Computer Science and Electronics Engineering, University of Essex, Colchester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronics Engineering, University of Essex, Colchester, United Kingdom","institution_ids":["https://openalex.org/I110002522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42488635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9904999732971191,"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":0.8278088569641113},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.7062304019927979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6386033296585083},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6274179220199585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6132060289382935},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5613380670547485},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5311029553413391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5298207402229309},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.4984259605407715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2828904092311859},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19672080874443054}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8278088569641113},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.7062304019927979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6386033296585083},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6274179220199585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6132060289382935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5613380670547485},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5311029553413391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5298207402229309},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.4984259605407715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2828904092311859},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19672080874443054},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce.2018.8326328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2018.8326328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1627400044","https://openalex.org/W2022686119","https://openalex.org/W2058761328","https://openalex.org/W2086504823","https://openalex.org/W2119605622","https://openalex.org/W2126751256","https://openalex.org/W2141109091","https://openalex.org/W2151103935","https://openalex.org/W2161158373","https://openalex.org/W2180566385","https://openalex.org/W6636759986"],"related_works":["https://openalex.org/W4225568567","https://openalex.org/W1496883226","https://openalex.org/W4297337052","https://openalex.org/W2028605949","https://openalex.org/W4286378979","https://openalex.org/W2282665605","https://openalex.org/W3216026256","https://openalex.org/W3129919015","https://openalex.org/W4390742338","https://openalex.org/W2037499216"],"abstract_inverted_index":{"This":[0],"paper":[1,31],"describes":[2],"an":[3,34,95],"approach":[4,35],"to":[5,36,52,79,93],"local":[6,26],"feature":[7,27],"instance":[8],"detection":[9,28],"by":[10],"treating":[11],"this":[12],"as":[13],"a":[14,19,25,61,87],"clustering":[15,22,66],"problem.":[16],"We":[17,70],"use":[18],"density":[20],"based":[21],"algorithm":[23,67],"and":[24,49,77,85],"algorithm.":[29],"The":[30],"also":[32],"provides":[33],"validating":[37],"the":[38,56,65,72,81,99],"results.":[39],"Confidences":[40],"are":[41],"calculated":[42],"for":[43,60],"each":[44,57],"cluster":[45,58],"using":[46,90],"core":[47],"distances":[48,51],"intra-cluster":[50],"determine":[53],"how":[54],"valid":[55],"is":[59],"particular":[62],"value":[63,101],"of":[64,75,83,89,98,102],"parameter":[68],"minPts.":[69,103],"used":[71],"statistical":[73],"values":[74,92],"kurtosis":[76],"skewness":[78],"validate":[80],"choice":[82,97],"minPts":[84],"describe":[86],"way":[88],"these":[91],"make":[94],"informed":[96],"proper":[100]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}