The improvement of initial point selection method for fuzzy K-Prototype clustering algorithm

K-Prototype is one of the important and effective clustering analysis algorithm to deal with mixed data types. This article discussed fuzzy clustering algorithm based on K-Prototype in detail and made improvements to solve its initial value problems. The proposed method is simple, easy to understand and can be achieved easily.