An Automatic Labeling of K-means Clusters based on Chi-Square Value

Abstract

Automatic labeling methods in text clustering are widely implemented. However, there are limited studies in automatic cluster labeling for numeric data points. Therefore, the aim of this study is to develop a novel automatic cluster labeling of numeric data points that utilize analysis of Chi-Square test as its cluster label. We performed K-means clustering as a clustering method and disparity of Health Human Resources as a case study. The result shows that the accuracy of cluster labeling is about 89.14%.