{"id":"https://openalex.org/W2770308127","doi":"https://doi.org/10.1007/s11222-018-9814-6","title":"Minimum spectral connectivity projection pursuit","display_name":"Minimum spectral connectivity projection pursuit","publication_year":2018,"publication_date":"2018-05-04","ids":{"openalex":"https://openalex.org/W2770308127","doi":"https://doi.org/10.1007/s11222-018-9814-6","mag":"2770308127"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-018-9814-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-018-9814-6","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1509.01546","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021350140","display_name":"David P. Hofmeyr","orcid":"https://orcid.org/0000-0003-3068-8128"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"David P. Hofmeyr","raw_affiliation_strings":["Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033673770","display_name":"Nicos G. Pavlidis","orcid":"https://orcid.org/0000-0002-0301-5350"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicos G. Pavlidis","raw_affiliation_strings":["Department of Management Science, Lancaster University, Lancaster, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Science, Lancaster University, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041082173","display_name":"Idris A. Eckley","orcid":"https://orcid.org/0000-0001-9957-2460"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Idris A. Eckley","raw_affiliation_strings":["Department of Mathematics and Statistics, Lancaster University, Lancaster, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Lancaster University, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021350140"],"corresponding_institution_ids":["https://openalex.org/I26092322"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":null,"fwci":0.1666,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55860349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":"2","first_page":"391","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9876000285148621,"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":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6781042814254761},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6162098050117493},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5889039039611816},{"id":"https://openalex.org/keywords/projection-pursuit","display_name":"Projection pursuit","score":0.5583223104476929},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.5239170789718628},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.44573381543159485},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.44278284907341003},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4261718690395355},{"id":"https://openalex.org/keywords/algebraic-connectivity","display_name":"Algebraic connectivity","score":0.42018502950668335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38870662450790405},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3586353659629822},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3540043830871582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2693670988082886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2369411587715149},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.20830488204956055}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6781042814254761},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6162098050117493},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5889039039611816},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.5583223104476929},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.5239170789718628},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.44573381543159485},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.44278284907341003},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4261718690395355},{"id":"https://openalex.org/C7948225","wikidata":"https://www.wikidata.org/wiki/Q4723998","display_name":"Algebraic connectivity","level":4,"score":0.42018502950668335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38870662450790405},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3586353659629822},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3540043830871582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2693670988082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2369411587715149},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.20830488204956055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-018-9814-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-018-9814-6","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1509.01546","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.01546","pdf_url":"https://arxiv.org/pdf/1509.01546","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1509.01546","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.01546","pdf_url":"https://arxiv.org/pdf/1509.01546","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G270953264","display_name":"StatScale: Statistical Scalability for Streaming Data","funder_award_id":"EP/N031938/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5312053714","display_name":null,"funder_award_id":"EP/N031938/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6799612760","display_name":"CENTRE FOR DOCTORAL TRAINING IN STATISTICS AND OPERATIONAL RESEARCH, LANCASTER UNIVERSITY (LUSTOR)","funder_award_id":"EP/H023151/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1483985387","https://openalex.org/W1491144097","https://openalex.org/W1492327544","https://openalex.org/W1507901999","https://openalex.org/W1672197616","https://openalex.org/W1849534574","https://openalex.org/W1969558191","https://openalex.org/W1970136394","https://openalex.org/W1975172027","https://openalex.org/W1997817740","https://openalex.org/W2045512849","https://openalex.org/W2057366835","https://openalex.org/W2062949261","https://openalex.org/W2064942524","https://openalex.org/W2068143018","https://openalex.org/W2075708987","https://openalex.org/W2079361215","https://openalex.org/W2087962968","https://openalex.org/W2095897464","https://openalex.org/W2105465566","https://openalex.org/W2121947440","https://openalex.org/W2125531986","https://openalex.org/W2128031431","https://openalex.org/W2128487019","https://openalex.org/W2129116669","https://openalex.org/W2130473611","https://openalex.org/W2131566584","https://openalex.org/W2132820034","https://openalex.org/W2132914434","https://openalex.org/W2134370969","https://openalex.org/W2138615112","https://openalex.org/W2149667092","https://openalex.org/W2151568819","https://openalex.org/W2152322845","https://openalex.org/W2160167256","https://openalex.org/W2160172778","https://openalex.org/W2163927416","https://openalex.org/W2248144625","https://openalex.org/W2298614780","https://openalex.org/W2787894218","https://openalex.org/W2913066018","https://openalex.org/W2999905431","https://openalex.org/W4231029117","https://openalex.org/W4253016148","https://openalex.org/W4301014524","https://openalex.org/W4302591315"],"related_works":["https://openalex.org/W1974715691","https://openalex.org/W4205812024","https://openalex.org/W54635551","https://openalex.org/W2597594164","https://openalex.org/W2475700395","https://openalex.org/W2039278542","https://openalex.org/W4368408228","https://openalex.org/W3011949883","https://openalex.org/W80320255","https://openalex.org/W3106442811"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}