An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance
Summary
An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance is a scholarly article[1].
Key Facts
An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-initialization-method-for-clustering-mixed-numeric-and-categorical-data-based-on-the-density-and-distance
MLA“An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-initialization-method-for-clustering-mixed-numeric-and-categorical-data-based-on-the-density-and-distance.
BibTeX@misc{4ortxyz_an-initialization-method-for-clustering-mixed-numeric-and-categorical-data-based-on-the-density-and-distance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance}}, year = {2026}, url = {https://4ort.xyz/entity/an-initialization-method-for-clustering-mixed-numeric-and-categorical-data-based-on-the-density-and-distance}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance — https://4ort.xyz/entity/an-initialization-method-for-clustering-mixed-numeric-and-categorical-data-based-on-the-density-and-distance (retrieved 2026-05-24)
