1Mac Queen J. Some Methods for Classification and Analysis of Multivariate Observations[J]. Proceeding of the 5th Berkeley Symposium on Mathematics Statistic Problem, 1967, (1).
2Huang Z. Extensions to The K-means Algorithm for Clustering Large Data Set with Categorical Values [J]. Data Mining and Knowledge Discovery,1998,(2).
3Dubes R C,Jain A K.Validity Studies in Clustering Methodologies[J]. Pattern Recognition, 1979, 12(11).
5Siddheswar Ray, Rose H. Tuff. Determination of Number of Clusters in K-Means Clustering and Application in Color Image Segmentation[J]. ICAPRDT'99, Calcutta,India,1999,(12).
6Tsunenori Ishioka. Extended K-means with an Efficient Estimation of the Number of Clusters[J]. Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2000), Hong Kong, China, 2000.
7Pal N R and J. C. Bezdek. On Cluster Validity for the Fuzzy cmeans Model[J]. IEEE Transaction on Fuzzy Systems,1995.
8Moguerza J M, Munoz A, Martin-Merino M. Detecting the Number of Clusters Using a Support Vector Machine Approach[J]. International Conference on Artificial Neural Networks-ICANN,2002.
3Barbara D, Chen P. Using the fractal dimension to cluster datasets [A]. Proceedings of the 6th ACM SIGKDD [C]. Boston, MA., 2000, 260-264.
4Kandogan E. Visualizing multi-dimensional clusters, trends and outliers using star coordinates [A]. Proceedings of the 7th ACM SIGKDD [C]. San Francisco, CA., 2001, 107-116.
5Bezdek J C. Pattern Recognition With Fuzzy Objective Function Algorithms [M]. New York: Plenums Press, 1981, 95-107.
6Pal N R, Bezdek J C. On Cluster Validity for the Fuzzy C-Means Model [J]. IEEE Trans on Fuzzy System, 1995, 3(3): 370-379.
7Engleman L, Hartigan J. Percentage points of a test for clusters [J]. Journal of the American Statistical Association, 1969, 64: 1647-1648.
8Millgan G, Cooper M. An examination of procedures for determining the number of clusters in a data set [J]. Psychometrika, 1985, 50: 159-179.
10Knorr E, Ng R. Algorithms for mining distance-based outliers in large datasets [A]. Proceedings of the 24h Conference on VLDB [C]. New York, 1998, 392-403.
5Pal N R and J. C. Bezdek. On Cluster Validity for the Fuzzy c -means Model[ J]. IEEE Transaction on Fuzzy Systems,1995.
6Moguerza J M, Munoz A, Martin - Merino M. Detecting the Number of Clusters Using a Support Vector Machine Approach[J]. International Conference on Artificial Neural Networks- ICANN,2002.
7ROBERT TIBSHIRANI. Cluster validation by predication strength [J]. 2001. http://citeseerx, ist. psu. edu/viewdoc/summary? Doi = 10.1.1.24. 2960.
8WangX, Wirth A, Wang L. Structure-based Statistical Features andMultivariate Time Series Clustering[R]. Proceedings of the SeventhIEEE International Conference on Data Mining,2007.
