Weighted k-prototypes clustering algorithm based on the hybrid dissimilarity coefficient

DOI10.1155/2020/5143797zbMath1459.62112OpenAlexW3043837220MaRDI QIDQ2193363

Ziqi Jia, Ling Song

Publication date: 25 August 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/5143797

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Clustering mixed-type player behavior data for churn prediction in mobile games

Uses Software

• clusfind

Cites Work

• Unnamed Item
• A Mathematical Theory of Communication
• An equi-biased \(k\)-prototypes algorithm for clustering mixed-type data

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