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Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population
Research article (Applied Intelligence, 2015) · cited 38× · AI/ML
Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population
Summary
Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population is a scholarly article[1].
Key Facts
Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population. Retrieved May 24, 2026, from https://4ort.xyz/entity/fuzzy-geographically-weighted-clustering-using-artificial-bee-colony-an-efficient-geo-demographic-analysis-algorithm-and
MLA“Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fuzzy-geographically-weighted-clustering-using-artificial-bee-colony-an-efficient-geo-demographic-analysis-algorithm-and.
BibTeX@misc{4ortxyz_fuzzy-geographically-weighted-clustering-using-artificial-bee-colony-an-efficient-geo-demographic-analysis-algorithm-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population}}, year = {2026}, url = {https://4ort.xyz/entity/fuzzy-geographically-weighted-clustering-using-artificial-bee-colony-an-efficient-geo-demographic-analysis-algorithm-and}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population — https://4ort.xyz/entity/fuzzy-geographically-weighted-clustering-using-artificial-bee-colony-an-efficient-geo-demographic-analysis-algorithm-and (retrieved 2026-05-24)
