A Similarity Measurement with Entropy-Based Weighting for Clustering Mixed Numerical and Categorical Datasets

A Similarity Measurement with Entropy-Based Weighting for Clustering Mixed Numerical and Categorical Datasets

Many mixed datasets with both numerical and categorical attributes have been collected in various fields, including medicine, biology, etc. Designing appropriate similarity measurements plays an important role in clustering these datasets. Many traditional measurements treat various attributes equal...

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Bibliographic Details
Main Authors: Xia Que, Siyuan Jiang, Jiaoyun Yang, Ning An
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Algorithms
Subjects:
automatic categorization
clustering analysis
mixed datasets
similarity measurement
information entropy
Online Access:https://www.mdpi.com/1999-4893/14/6/184

Internet

https://www.mdpi.com/1999-4893/14/6/184

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