{"id":"https://openalex.org/W4406615078","doi":"https://doi.org/10.36948/ijfmr.2024.v06i01.23474","title":"Spatial Data Clustering and Pattern Recognition Using Machine Learning","display_name":"Spatial Data Clustering and Pattern Recognition Using Machine Learning","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4406615078","doi":"https://doi.org/10.36948/ijfmr.2024.v06i01.23474"},"language":"en","primary_location":{"id":"doi:10.36948/ijfmr.2024.v06i01.23474","doi":"https://doi.org/10.36948/ijfmr.2024.v06i01.23474","is_oa":true,"landing_page_url":"https://doi.org/10.36948/ijfmr.2024.v06i01.23474","pdf_url":"https://www.ijfmr.com/papers/2024/1/23474.pdf","source":{"id":"https://openalex.org/S4210207214","display_name":"International Journal For Multidisciplinary Research","issn_l":"2582-2160","issn":["2582-2160"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal For Multidisciplinary Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.ijfmr.com/papers/2024/1/23474.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115671227","display_name":"Kirti Vasdev","orcid":"https://orcid.org/0009-0005-4978-2693","observed_orcids":["https://orcid.org/0009-0005-4978-2693"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kirti Vasdev -","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5115671227"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3122,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52122292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.8353999853134155,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.8353999853134155,"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/T11106","display_name":"Data Management and Algorithms","score":0.05590000003576279,"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"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.051500000059604645,"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/spatial-clustering","display_name":"spatial clustering","score":0.9980000257492065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"pattern recognition","score":0.8709999918937683},{"id":"https://openalex.org/keywords/spatial-data","display_name":"geospatial data","score":0.8299999833106995},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.9900000095367432},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.925000011920929},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.7950000166893005},{"id":"https://openalex.org/keywords/urban-planning","display_name":"urban planning","score":0.9869999885559082},{"id":"https://openalex.org/keywords/environmental-monitoring","display_name":"environmental monitoring","score":1.0},{"id":"https://openalex.org/keywords/disaster-management","display_name":"disaster management","score":0.8899999856948853},{"id":"https://openalex.org/keywords/decision-support","display_name":"decision support","score":0.5090000033378601}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7019892930984497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6059637069702148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6056637763977051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5685879588127136},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.45218580961227417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35492855310440063},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16457626223564148},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08826550841331482}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.36948/ijfmr.2024.v06i01.23474","doi":"https://doi.org/10.36948/ijfmr.2024.v06i01.23474","is_oa":true,"landing_page_url":"https://doi.org/10.36948/ijfmr.2024.v06i01.23474","pdf_url":"https://www.ijfmr.com/papers/2024/1/23474.pdf","source":{"id":"https://openalex.org/S4210207214","display_name":"International Journal For Multidisciplinary Research","issn_l":"2582-2160","issn":["2582-2160"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal For Multidisciplinary Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.36948/ijfmr.2024.v06i01.23474","doi":"https://doi.org/10.36948/ijfmr.2024.v06i01.23474","is_oa":true,"landing_page_url":"https://doi.org/10.36948/ijfmr.2024.v06i01.23474","pdf_url":"https://www.ijfmr.com/papers/2024/1/23474.pdf","source":{"id":"https://openalex.org/S4210207214","display_name":"International Journal For Multidisciplinary Research","issn_l":"2582-2160","issn":["2582-2160"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal For Multidisciplinary Research","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406615078.pdf","grobid_xml":"https://content.openalex.org/works/W4406615078.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4395478873","https://openalex.org/W3170517997","https://openalex.org/W55972218","https://openalex.org/W4404425198","https://openalex.org/W4379619894","https://openalex.org/W4396219546","https://openalex.org/W4293092751","https://openalex.org/W4411138081","https://openalex.org/W4405977650","https://openalex.org/W4395673743"],"abstract_inverted_index":{"Spatial":[0],"data":[1],"clustering":[2,44,72],"and":[3,45,58,68,76,99,108,115],"pattern":[4],"recognition":[5],"are":[6,78,104,110],"pivotal":[7],"in":[8,43,48,60,92,101],"analyzing":[9],"geospatial":[10],"information":[11],"for":[12],"various":[13],"applications.":[14],"With":[15],"the":[16,22,38,102],"advent":[17],"of":[18,40],"machine":[19],"learning":[20],"(ML),":[21],"ability":[23],"to":[24,112],"extract":[25],"meaningful":[26],"patterns":[27,47],"from":[28],"complex":[29],"datasets":[30],"has":[31],"been":[32],"significantly":[33],"enhanced.":[34],"This":[35],"paper":[36],"explores":[37],"integration":[39],"ML":[41],"techniques":[42],"recognizing":[46],"spatial":[49],"data.":[50],"The":[51],"discussion":[52],"includes":[53],"detailed":[54],"theories,":[55],"case":[56],"studies,":[57],"applications":[59],"fields":[61],"such":[62],"as":[63],"urban":[64],"planning,":[65],"environmental":[66],"monitoring,":[67],"disaster":[69],"management.":[70],"Advanced":[71],"methods":[73,114],"like":[74],"DBSCAN":[75],"k-means":[77],"evaluated,":[79],"alongside":[80],"deep":[81],"learning-based":[82],"approaches.":[83],"Case":[84],"studies":[85],"highlight":[86],"real-world":[87],"applications,":[88],"showcasing":[89],"ML\u2019s":[90],"role":[91],"improving":[93],"decision-making":[94],"processes.":[95],"Challenges,":[96],"future":[97],"trends,":[98],"opportunities":[100],"domain":[103],"also":[105],"discussed.":[106],"Diagrams":[107],"tables":[109],"provided":[111],"illustrate":[113],"results.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2025-01-21T00:00:00"}