PCA Dimensionality Reduction for Categorical Data
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.