{"id":"https://openalex.org/W1626041148","doi":"https://doi.org/10.1109/icinfa.2015.7279471","title":"Clustering of tree-structured data","display_name":"Clustering of tree-structured data","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1626041148","doi":"https://doi.org/10.1109/icinfa.2015.7279471","mag":"1626041148"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2015.7279471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","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/A5100778313","display_name":"Na L\u00fc","orcid":"https://orcid.org/0000-0002-7436-2691"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Na Lu","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","State Key Laboratory for Manufacturing Systems Engineering, Systems Engineering Institute, Xi'an Jiaotong University, Shaanxi, 710049, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Systems Engineering Institute, Xi'an Jiaotong University, Shaanxi, 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011523154","display_name":"Yidan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidan Wu","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100778313"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.3505,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62086464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"51","issue":null,"first_page":"1210","last_page":"1215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7358296513557434},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.687504768371582},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.649715781211853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5364354848861694},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.45584243535995483},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.43960025906562805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4342440962791443},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.42249441146850586},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41623762249946594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4092574715614319},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.373917818069458},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3620607852935791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3476971387863159},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33152711391448975},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1587877869606018},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.13887181878089905},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.11846408247947693}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7358296513557434},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.687504768371582},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.649715781211853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5364354848861694},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.45584243535995483},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.43960025906562805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4342440962791443},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.42249441146850586},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41623762249946594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4092574715614319},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.373917818069458},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3620607852935791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3476971387863159},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33152711391448975},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1587877869606018},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.13887181878089905},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.11846408247947693},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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:10.1109/icinfa.2015.7279471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","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":36,"referenced_works":["https://openalex.org/W633149616","https://openalex.org/W1567268701","https://openalex.org/W1804110266","https://openalex.org/W1902027874","https://openalex.org/W1963492502","https://openalex.org/W1971324461","https://openalex.org/W1973011883","https://openalex.org/W1981731521","https://openalex.org/W1990974601","https://openalex.org/W2003064123","https://openalex.org/W2003933044","https://openalex.org/W2007668764","https://openalex.org/W2032482742","https://openalex.org/W2044774499","https://openalex.org/W2055355678","https://openalex.org/W2076423950","https://openalex.org/W2079354271","https://openalex.org/W2086902241","https://openalex.org/W2088449330","https://openalex.org/W2102364524","https://openalex.org/W2116283731","https://openalex.org/W2119565742","https://openalex.org/W2121966925","https://openalex.org/W2129019102","https://openalex.org/W2136550549","https://openalex.org/W2144026946","https://openalex.org/W2145305441","https://openalex.org/W2154675536","https://openalex.org/W2963432779","https://openalex.org/W3104688568","https://openalex.org/W3106526220","https://openalex.org/W4205293427","https://openalex.org/W4210681352","https://openalex.org/W4294652520","https://openalex.org/W6678215916","https://openalex.org/W6763922221"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2146544734","https://openalex.org/W2075222291"],"abstract_inverted_index":{"Tree-structured":[0],"data":[1,30,102],"conveys":[2],"both":[3,100],"topological":[4],"and":[5,12,21,27,103],"geometrical":[6],"information,":[7],"which":[8,44,73],"is":[9,42,64,81,97],"strongly":[10],"non-Euclidean":[11],"thus":[13],"need":[14],"be":[15],"considered":[16],"on":[17,49,88],"manifold":[18],"for":[19],"parameterization":[20,34],"analysis.":[22],"To":[23],"address":[24],"this":[25],"problem":[26],"perform":[28],"tree-structured":[29,71],"clustering,":[31],"a":[32,53],"novel":[33],"method":[35,58,96],"using":[36,99],"the":[37,68,84,89],"Topology-Attribute":[38],"matrix":[39,50,55],"(T-A":[40],"matrix)":[41],"proposed":[43,95],"could":[45],"enable":[46],"tree":[47],"analysis":[48],"manifold.":[51],"Then":[52],"nonnegative":[54],"factorization":[56],"(NMF)":[57],"with":[59],"structure":[60],"constraint":[61],"from":[62],"trees":[63],"developed":[65],"to":[66],"mine":[67],"subspace":[69],"of":[70,91],"data,":[72],"we":[74],"call":[75],"meta-tree":[76,85],"space.":[77],"The":[78,94],"clustering":[79],"task":[80],"conducted":[82],"in":[83],"space":[86],"based":[87],"concept":[90],"Fr\u00e9chet":[92],"mean.":[93],"evaluated":[98],"simulated":[101],"real":[104],"retinal":[105],"images.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}