A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses

A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses

Abstract Background Traditional clustering techniques are typically restricted to either continuous or categorical variables. However, most real-world clinical data are mixed type. This study aims to introduce a clustering technique specifically designed for datasets containing both continuous and c...

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Bibliographic Details
Main Authors: Pinyan Liu, Han Yuan, Yilin Ning, Bibhas Chakraborty, Nan Liu, Marco Aurélio Peres
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Research Methodology
Subjects:
Clustering
Distance measure
Feature importance
Mixed type data
Online Access:https://doi.org/10.1186/s12874-024-02427-8
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https://doi.org/10.1186/s12874-024-02427-8

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