{"id":"https://openalex.org/W2566837934","doi":"https://doi.org/10.1109/memcod.2016.7797755","title":"MEMOCODE 2016 design contest: K-means clustering","display_name":"MEMOCODE 2016 design contest: K-means clustering","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2566837934","doi":"https://doi.org/10.1109/memcod.2016.7797755","mag":"2566837934"},"language":"en","primary_location":{"id":"doi:10.1109/memcod.2016.7797755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memcod.2016.7797755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 ACM/IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)","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/A5061612911","display_name":"Peter Milder","orcid":"https://orcid.org/0000-0003-1146-3011"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peter Milder","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stony Brook University, NY"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, NY","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061612911"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16154579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9987999796867371,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8288963437080383},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7572160959243774},{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.6847661137580872},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.662785530090332},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4805503487586975},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.45088091492652893},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4410562515258789},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3219873309135437},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15072527527809143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14222338795661926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06912311911582947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8288963437080383},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7572160959243774},{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.6847661137580872},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.662785530090332},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4805503487586975},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.45088091492652893},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4410562515258789},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3219873309135437},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15072527527809143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14222338795661926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06912311911582947},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memcod.2016.7797755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memcod.2016.7797755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 ACM/IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)","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":12,"referenced_works":["https://openalex.org/W1495255495","https://openalex.org/W2031097123","https://openalex.org/W2044899448","https://openalex.org/W2089472150","https://openalex.org/W2100701419","https://openalex.org/W2103214952","https://openalex.org/W2120575424","https://openalex.org/W2150593711","https://openalex.org/W2183761557","https://openalex.org/W2918116970","https://openalex.org/W3140241555","https://openalex.org/W6629764315"],"related_works":["https://openalex.org/W2735088306","https://openalex.org/W4286740636","https://openalex.org/W2946214509","https://openalex.org/W2606108738","https://openalex.org/W2628063975","https://openalex.org/W2356479129","https://openalex.org/W2387346515","https://openalex.org/W2352196451","https://openalex.org/W2590086693","https://openalex.org/W3124994589"],"abstract_inverted_index":{"K-means":[0],"is":[1,22],"a":[2,25,30,45,63,81],"clustering":[3],"algorithm":[4],"that":[5],"aims":[6],"to":[7,23,27,43,47,52,61,79],"group":[8],"data":[9,35],"into":[10],"k":[11],"similar":[12],"clusters.":[13],"The":[14,73],"objective":[15],"of":[16,33,65],"the":[17],"2016":[18],"MEMOCODE":[19],"Design":[20],"Contest":[21],"implement":[24],"system":[26,46],"efficiently":[28],"partition":[29],"large":[31],"set":[32],"multidimensional":[34],"using":[36,92],"k-means.":[37],"Contestants":[38],"were":[39,59],"given":[40],"one":[41],"month":[42],"develop":[44],"perform":[48],"this":[49],"operation,":[50],"aiming":[51],"maximize":[53],"performance":[54],"or":[55],"cost-adjusted":[56],"performance.":[57],"Teams":[58],"encouraged":[60],"consider":[62],"variety":[64],"computational":[66],"targets":[67],"including":[68],"CPUs,":[69],"FPGAs,":[70],"and":[71,89,94],"GPGPUs.":[72],"winning":[74],"team,":[75],"which":[76],"was":[77],"invited":[78],"contribute":[80],"paper":[82],"describing":[83],"their":[84],"techniques,":[85],"combined":[86],"careful":[87],"algorithmic":[88],"implementation":[90],"optimizations":[91],"CPUs":[93],"GPUs.":[95]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
