An Empirical Evaluation of Different Initializations on the Number of K-Means Iterations
暂无分享,去创建一个
[1] G. W. Milligan,et al. The validation of four ultrametric clustering algorithms , 1980, Pattern Recognit..
[2] Renato Cordeiro de Amorim,et al. Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering , 2012, Pattern Recognit..
[3] Sankar K. Pal,et al. Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing , 2004 .
[4] Boris Mirkin,et al. Mathematical Classification and Clustering , 1996 .
[5] D. M. Hutton,et al. Pattern Recognition Algorithms for Data Mining , 2005 .
[6] David G. Stork,et al. Pattern Classification , 1973 .
[7] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[8] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[9] Boris Mirkin,et al. Clustering For Data Mining: A Data Recovery Approach (Chapman & Hall/Crc Computer Science) , 2005 .
[10] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..
[11] J. H. Ward. Hierarchical Grouping to Optimize an Objective Function , 1963 .
[12] Anil K. Jain. Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..
[13] Ann Q. Gates,et al. TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING , 2005 .
[14] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[15] Peter Komisarczuk,et al. On Initializations for the Minkowski Weighted K-Means , 2012, IDA.
[16] G H Ball,et al. A clustering technique for summarizing multivariate data. , 1967, Behavioral science.
[17] Pedro Larrañaga,et al. Applying genetic algorithms to search for the best hierarchical clustering of a dataset , 1999, Pattern Recognit. Lett..
[18] Frank Klawonn,et al. Advances in Intelligent Data Analysis XI , 2012, Lecture Notes in Computer Science.
[19] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[20] Pedro Larrañaga,et al. An empirical comparison of four initialization methods for the K-Means algorithm , 1999, Pattern Recognit. Lett..
[21] R. C. de Amorim,et al. Constrained Intelligent K-Means: Improving Results with Limited Previous Knowledge. , 2008 .
[22] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[23] G. W. Milligan,et al. A study of standardization of variables in cluster analysis , 1988 .
[24] Boris G. Mirkin,et al. Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads , 2010, J. Classif..
[25] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[26] Robert Henson,et al. OCLUS: An Analytic Method for Generating Clusters with Known Overlap , 2005, J. Classif..
[27] Michael J. Brusco,et al. Initializing K-means Batch Clustering: A Critical Evaluation of Several Techniques , 2007, J. Classif..