Kernel Data Analysis based on Fuzzy Neighborhoods

Abstract

A fuzzy neighborhood model to analyze text data using a kernel function is proposed, where a sufficient condition that a fuzzy neighborhood provides a positive definite kernel is given. Accordingly we can apply the present model to text analysis using kernel c-means clustering or Kernel PCA. An example of analysis of medical incident reports is given.