{"id":"https://openalex.org/W2021612225","doi":"https://doi.org/10.1109/igarss.2015.7325967","title":"Feature space dimensionality reduction for the optimization of visualization methods","display_name":"Feature space dimensionality reduction for the optimization of visualization methods","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2021612225","doi":"https://doi.org/10.1109/igarss.2015.7325967","mag":"2021612225"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5006288081","display_name":"Andreea Griparis","orcid":"https://orcid.org/0000-0002-3034-9436"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Andreea Griparis","raw_affiliation_strings":["Department of Applied Electronics and Information Engineering, Politehnica University of Bucharest, Romania","[Department of Applied Electronics and Information Engineering, Politehnica University of Bucharest, Romania]"],"affiliations":[{"raw_affiliation_string":"Department of Applied Electronics and Information Engineering, Politehnica University of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"[Department of Applied Electronics and Information Engineering, Politehnica University of Bucharest, Romania]","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064251688","display_name":"Daniela Faur","orcid":"https://orcid.org/0000-0001-5208-5753"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Daniela Faur","raw_affiliation_strings":["Department of Applied Electronics and Information Engineering, Politehnica University of Bucharest, Romania","[Department of Applied Electronics and Information Engineering, Politehnica University of Bucharest, Romania]"],"affiliations":[{"raw_affiliation_string":"Department of Applied Electronics and Information Engineering, Politehnica University of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"[Department of Applied Electronics and Information Engineering, Politehnica University of Bucharest, Romania]","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032370631","display_name":"Mihai Datcu","orcid":"https://orcid.org/0000-0002-3477-9687"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mihai Datcu","raw_affiliation_strings":["German Aerospace Center, Earth Observation Center, Oberpfaffenhofen, Germany"],"affiliations":[{"raw_affiliation_string":"German Aerospace Center, Earth Observation Center, Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006288081"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67709624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"1120","last_page":"1123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9975000023841858,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9975000023841858,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9878000020980835,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9868999719619751,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8738769292831421},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7636028528213501},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6697368025779724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6616913080215454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6247466206550598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6057407259941101},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5912814736366272},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5699248909950256},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5331138372421265},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4558781683444977},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4400036931037903},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4335898160934448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4000769257545471},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25352174043655396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24218690395355225}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8738769292831421},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7636028528213501},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6697368025779724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616913080215454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6247466206550598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057407259941101},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5912814736366272},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5699248909950256},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5331138372421265},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4558781683444977},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4400036931037903},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4335898160934448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4000769257545471},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25352174043655396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24218690395355225},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":2,"locations":[{"id":"doi:10.1109/igarss.2015.7325967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:100672","is_oa":false,"landing_page_url":"https://elib.dlr.de/100672/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320336163","display_name":"Institute of Psychology, Chinese Academy of Sciences","ror":"https://ror.org/03j7v5j15"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1564398635","https://openalex.org/W2019029724","https://openalex.org/W2054631532","https://openalex.org/W2119111481","https://openalex.org/W2130258210","https://openalex.org/W2137570937","https://openalex.org/W2151530263","https://openalex.org/W2159075893","https://openalex.org/W2187089797","https://openalex.org/W6634118655"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Visual":[0],"data":[1,10,22,29,51,142],"mining":[2,17,30],"methods":[3,72],"are":[4,130,158],"of":[5,68,91,101,109,136],"great":[6],"importance":[7],"in":[8,55,79],"exploratory":[9],"analysis":[11,145],"having":[12],"a":[13,53,56,65],"high":[14],"potential":[15],"for":[16,40,162],"large":[18],"databases.":[19],"As":[20],"the":[21,38,89,92,95,99,102,134,148,164,168],"feature":[23,42,77],"space":[24],"is":[25,37],"generally":[26],"n-dimensional,":[27],"visual":[28],"relies":[31],"on":[32,147,160],"dimensionality":[33,70,137,153],"reduction":[34,71,138,154],"techniques.":[35,155],"This":[36,60],"case":[39],"image":[41,76],"spaces":[43],"which":[44,163],"can":[45],"be":[46],"visualized":[47],"by":[48],"giving":[49],"each":[50],"point":[52],"location":[54],"three":[57],"dimensional":[58],"space.":[59],"paper":[61],"aims":[62],"to":[63,81,87,97,132,141],"present":[64],"comparative":[66],"study":[67],"several":[69],"considering":[73],"as":[74],"input":[75],"spaces,":[78],"order":[80],"detemine":[82],"an":[83,105],"optimal":[84],"visualization":[85],"method":[86],"illustrate":[88],"separation":[90],"classes.":[93],"At":[94],"beginning,":[96],"check":[98],"performance":[100],"envisaged":[103],"method,":[104],"artificial":[106],"dataset":[107],"consisting":[108],"random":[110],"vectors":[111],"describing":[112],"six,":[113],"20-dimensional":[114],"Gaussian":[115],"distributions":[116],"with":[117],"spaced":[118],"means":[119],"and":[120,151,171],"low":[121],"variances":[122],"was":[123],"generated.":[124],"Further,":[125],"two":[126],"real":[127],"images":[128,161],"datasets":[129],"used":[131],"evaluate":[133],"contributions":[135],"algorithms":[139],"related":[140],"visualization.":[143],"The":[144],"focuses":[146],"PCA,":[149],"LDA":[150],"t-SNE":[152],"Our":[156],"tests":[157],"performed":[159],"computed":[165],"features":[166],"include":[167],"color":[169],"histogram":[170],"Weber":[172],"descriptors.":[173]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
