Advancing Spectral Clustering for Categorical and Mixed-Type Data: Insights and Applications

Advancing Spectral Clustering for Categorical and Mixed-Type Data: Insights and Applications

This study focuses on adapting spectral clustering, a numeric data-clustering technique, for categorical and mixed-type data. The method enhances spectral clustering for categorical and mixed-type data with novel kernel functions, showing improved accuracy in real-world applications. Despite achievi...

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Bibliographic Details
Main Author: Cinzia Di Nuzzo
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
spectral clustering
categorical data
mixed-type data
kernel functions
Online Access:https://www.mdpi.com/2227-7390/12/4/508

Internet

https://www.mdpi.com/2227-7390/12/4/508

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