{"id":"https://openalex.org/W4409481126","doi":"https://doi.org/10.14428/esann/2025.es2025-177","title":"Do not get lost in projection: finding the right distance for meaningful UMAP embeddings","display_name":"Do not get lost in projection: finding the right distance for meaningful UMAP embeddings","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409481126","doi":"https://doi.org/10.14428/esann/2025.es2025-177"},"language":"en","primary_location":{"id":"doi:10.14428/esann/2025.es2025-177","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-177","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-177","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.14428/esann/2025.es2025-177","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054267106","display_name":"Eva Blanco-Mallo","orcid":"https://orcid.org/0000-0002-5007-0897"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eva Blanco-Mallo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042436168","display_name":"Ver\u00f3nica Bol\u00f3n\u2010Canedo","orcid":"https://orcid.org/0000-0002-0524-6427"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ver\u00f3nica Bol\u00f3n-Canedo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063299946","display_name":"Beatriz Remeseiro","orcid":"https://orcid.org/0000-0001-9265-253X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beatriz Remeseiro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06495408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9108999967575073,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9108999967575073,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6311998963356018},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5357913374900818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4156264662742615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20213371515274048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311998963356018},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5357913374900818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4156264662742615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20213371515274048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14428/esann/2025.es2025-177","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-177","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-177","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.14428/esann/2025.es2025-177","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-177","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-177","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1496055848","display_name":null,"funder_award_id":"ED431C","funder_id":"https://openalex.org/F4320326655","funder_display_name":"Xunta de Galicia"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3876637791","display_name":null,"funder_award_id":"ED431G","funder_id":"https://openalex.org/F4320326655","funder_display_name":"Xunta de Galicia"},{"id":"https://openalex.org/G4449378558","display_name":null,"funder_award_id":"ED431C 2022/44","funder_id":"https://openalex.org/F4320326655","funder_display_name":"Xunta de Galicia"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7086754869","display_name":null,"funder_award_id":"ED431G 2023/01","funder_id":"https://openalex.org/F4320326655","funder_display_name":"Xunta de Galicia"},{"id":"https://openalex.org/G7266728691","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8684520763","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8826514383","display_name":null,"funder_award_id":"PID2019-109238GB-C22","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320326655","display_name":"Xunta de Galicia","ror":"https://ror.org/0181xnw06"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409481126.pdf","grobid_xml":"https://content.openalex.org/works/W4409481126.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Dimensionality":[0],"reduction":[1,32],"techniques":[2],"are":[3],"essential":[4],"for":[5,51,74],"visualizing":[6],"and":[7,25,42,56,71],"analyzing":[8],"high-dimensional":[9],"data.This":[10],"study":[11],"explores":[12],"the":[13,19,61],"impact":[14],"of":[15,21,63],"distance":[16,65],"measures":[17,66],"on":[18,37,54],"performance":[20],"Uniform":[22],"Manifold":[23],"Approximation":[24],"Projection":[26],"(UMAP),":[27],"a":[28,48],"widely":[29],"used":[30,46],"dimensionality":[31],"method.We":[33],"evaluate":[34],"their":[35,43],"influence":[36],"cluster":[38],"separation,":[39],"structure":[40],"preservation,":[41],"effectiveness":[44],"when":[45],"as":[47],"preprocessing":[49],"step":[50],"classification":[52],"tasks":[53],"real":[55],"synthetic":[57],"datasets.The":[58],"results":[59],"highlight":[60],"importance":[62],"tailoring":[64],"to":[67],"specific":[68],"data":[69],"contexts":[70],"provide":[72],"guidance":[73],"optimizing":[75],"UMAP":[76],"applications.":[77]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
