PCA Dimensionality Reduction for Categorical Data

被引：0
|
作者：
Denisiuk, Aleksander [1 ]
机构：
[1] Univ Warmia & Mazury, Ul Sloneczna 54, PL-10710 Olsztyn, Poland
来源：
COMPUTATIONAL SCIENCE, ICCS 2024, PT III | 2024年 / 14834卷
关键词：
PCA; Hamming metric; weighted Hamming metric; categorical data; dimensionality reduction; classification;
D O I：
10.1007/978-3-031-63759-9_22
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The purpose of the article is to develop a new dimensionality reduction algorithm for categorical data. We give a new geometric formulation of the PCA dimensionality reduction method for numerical data that can be effectively transferred to the case of categorical data with the Hamming metric.
引用
收藏
页码：179 / 186
页数：8
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