Weighted k-Prototypes Clustering Algorithm Based on the Hybrid Dissimilarity Coefficient

Research article (Mathematical Problems in Engineering, 2020) · cited 16× · AI/ML
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Weighted k-Prototypes Clustering Algorithm Based on the Hybrid Dissimilarity Coefficient

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Weighted k-Prototypes Clustering Algorithm Based on the Hybrid Dissimilarity Coefficient is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Weighted k-Prototypes Clustering Algorithm Based on the Hybrid Dissimilarity Coefficient. Retrieved May 24, 2026, from https://4ort.xyz/entity/weighted-k-prototypes-clustering-algorithm-based-on-the-hybrid-dissimilarity-coefficient
MLA “Weighted k-Prototypes Clustering Algorithm Based on the Hybrid Dissimilarity Coefficient.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/weighted-k-prototypes-clustering-algorithm-based-on-the-hybrid-dissimilarity-coefficient.
BibTeX @misc{4ortxyz_weighted-k-prototypes-clustering-algorithm-based-on-the-hybrid-dissimilarity-coefficient_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Weighted k-Prototypes Clustering Algorithm Based on the Hybrid Dissimilarity Coefficient}}, year = {2026}, url = {https://4ort.xyz/entity/weighted-k-prototypes-clustering-algorithm-based-on-the-hybrid-dissimilarity-coefficient}, note = {Accessed: 2026-05-24}}
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