A Novel Cluster Prediction Approach Based on Locality-Sensitive Hashing for Fuzzy Clustering of Categorical Data

A Novel Cluster Prediction Approach Based on Locality-Sensitive Hashing for Fuzzy Clustering of Categorical Data

This paper addresses the problem of fuzzy clustering for categorical data. During the last two decades, many attempts have been made to extend the <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-means algorithm, making it applicable to c...

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Bibliographic Details
Main Authors: Toan Nguyen Mau, Yasushi Inoguchi, Van-Nam Huynh
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Cluster analysis
fuzzy clustering
categorical data
locality-sensitive hashing
initial cluster prediction
Online Access:https://ieeexplore.ieee.org/document/9743464/

Internet

https://ieeexplore.ieee.org/document/9743464/

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