A Framework of Mutual Information Kullback-Leibler Divergence based for Clustering Categorical Data

A Framework of Mutual Information Kullback-Leibler Divergence based for Clustering Categorical Data

Clustering is a process of grouping a set of objects into multiple clusters, so that the collection of similar objects will be grouped into the same cluster and dissimilar objects will be grouped into other clusters. Fuzzy k-means Algorithm is one of clustering algorithm by partitioning data into k...

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Bibliographic Details
Main Authors: Iwan Tri Riyadi Yanto, Ririn Setiyowati, Nur Azizah, - Rasyidah
Format: Article
Language:English
Published: Politeknik Negeri Padang 2021-03-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
kullback-leibler divergence
mutual information
fuzzy k-means
categorical data
clustering.
Online Access:https://joiv.org/index.php/joiv/article/view/462

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