Notes about the paper entitled “A hybridized K-means clustering approach for high dimensional dataset”
- 1 Department of Statistics and Operations Research, University of Cádiz, Spain
ISSN: 2141-2839, 2141-2820
Argitalpen urtea: 2014
Alea: 6
Zenbakia: 1
Orrialdeak: 20-26
Mota: Artikulua
Beste argitalpen batzuk: International Journal of Engineering, Science and Technology
Laburpena
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.