A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data

A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data

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Data clustering is a data mining approach that assigns similar data to the same group. Traditionally, cluster similarity considers all attributes equally, but in real-world applications, some attributes may be more important than others. Therefore, this study proposes an algorithm that utilizes mul...

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Bibliographic Details
Main Authors: Ren-Jieh Kuo, Maya Cendana, Thi Phuong Quyen Nguyen, Ferani E. Zulvia
Format: Article
Language:English
Published: ITB Journal Publisher 2024-09-01
Series:Journal of ICT Research and Applications
Subjects:
categorical data
fuzzy clustering
gini impurity
MFWKM-PD
probabilistic distance
Online Access:http://167.205.195.146/ojsnew/index.php/jictra/article/view/23258
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