References

1) Data Clustering: A Review by A.K. Jain, M.N. Murty and P.J. Flynn.

2) Clustering with Gaussian Mixtures by Andrew W. Moore.

3) Kernel k-means, Spectral Clustering and Normalized Cuts by Inderjit S. Dhillon, Yuqiang Guan and Brian Kulis.

4) A Comprehensive Overview of Basic Clustering Algorithms by Glenn Fung.

5) An Efficient k-means Clustering Algorithm: Analysis and Implementation by Tapas Kanungo, David M. Mount,

Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman and Angela Y. Wu.

6) An Efficient Minimum Spanning Tree based Clustering Algorithm by Prasanta K. Jana and Azad Naik.

7) An Efficient k-means Clustering Algorithm by Khaled Alsabti, Sanjay Ranka and Vineet Singh.

8) Survey of Clustering Data Mining Techniques by Pavel Berkhin.

9) Graph Clustering and Minimum Cut Trees by Gary William Flake, Robert E. Tarjan, and Kostas Tsioutsiouliklis.

10) Survey of Clustering Algorithms by Rui Xu and Donald Wunsch II.

11) A multi-prototype clustering algorithm by Manhua Liu, Xudong Jiang and Alex C. Kot.

12) A graph-theoretical clustering method based on two rounds of minimum spanning trees by Caiming Zhong,

Duoqian Miao and Ruizhi Wang.

13) A Unified View of Kernel k-means, Spectral Clustering and Graph Cuts by Inderjit Dhillon, Yuqiang Guan and Brian Kulis.

14) Kernel k-means, Spectral Clustering and Normalized Cuts by Inderjit Dhillon, Yuqiang Guan and Brian Kulis.

15) A Novel Clustering Algorithm for Biological Data by Azad Naik, Damodar Reddy and Prasanta K. Jana.