Notes about the paper entitled “A hybridized K-means clustering approach for high dimensional dataset”

Abstract

In the paper “A hybridized K-means clustering approach for high dimensional dataset” Dash, Mishra, Rash and Acharya have presented a new version of the k-means algorithm. In it, principal components analysis (PCA) was used before applying the kmeans algorithm with a new initialization method. The authors compare the results obtained by using the HKMCA and PCA with the results of the original k-means, but a direct comparison is not valid as this paper shows.

Keywords: Cluster analysis, K-means Algorithm, Principal Component Analysis, Hybridized K-means algorithm

International Journal of Engineering, Science and Technology Vol. 6, No. 1, 2014, pp. 20-26