A k-means based co-clustering (kCC) algorithm for sparse, high dimensional data
暂无分享,去创建一个
[1] Stuart A. Roberts,et al. New methods for the initialisation of clusters , 1996, Pattern Recognit. Lett..
[2] Abdolreza Hatamlou,et al. Black hole: A new heuristic optimization approach for data clustering , 2013, Inf. Sci..
[3] Gadadhar Sahoo,et al. A New Initialization Method to Originate Initial Cluster Centers for K-Means Algorithm , 2014 .
[4] Michael R. Anderberg,et al. Cluster Analysis for Applications , 1973 .
[5] Feng Jiang,et al. Initialization of K-modes clustering using outlier detection techniques , 2016, Inf. Sci..
[6] Bo Yu,et al. Combining Statistical Information and Distance Computation for K-Means Initialization , 2016, 2016 12th International Conference on Semantics, Knowledge and Grids (SKG).
[7] Sina Khanmohammadi,et al. An improved overlapping k-means clustering method for medical applications , 2017, Expert Syst. Appl..
[8] A. Rama Mohan Reddy,et al. An efficient k-means clustering filtering algorithm using density based initial cluster centers , 2017, Inf. Sci..
[9] H. Müller,et al. Maximin estimation of multidimensional boundaries , 1994 .
[10] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[11] Teofilo F. GONZALEZ,et al. Clustering to Minimize the Maximum Intercluster Distance , 1985, Theor. Comput. Sci..
[12] Seiji Yamada,et al. Careful Seeding Method based on Independent Components Analysis for k-means Clustering , 2012 .
[13] Syed Fawad Hussain,et al. CCGA: Co-similarity based Co-clustering using genetic algorithm , 2018, Appl. Soft Comput..
[14] Jiye Liang,et al. Fast global k-means clustering based on local geometrical information , 2013, Inf. Sci..
[15] Shehroz S. Khan,et al. Cluster center initialization algorithm for K-means clustering , 2004, Pattern Recognit. Lett..
[16] Abdolreza Hatamlou,et al. In search of optimal centroids on data clustering using a binary search algorithm , 2012, Pattern Recognit. Lett..
[17] Mohammad Al Hasan,et al. Robust partitional clustering by outlier and density insensitive seeding , 2009, Pattern Recognit. Lett..
[18] Rehab Duwairi,et al. A novel approach for initializing the spherical K-means clustering algorithm , 2015, Simul. Model. Pract. Theory.
[19] Roger Lee,et al. Text Document Clustering: The Application of Cluster Analysis to Textual Document , 2016, 2016 International Conference on Computational Science and Computational Intelligence (CSCI).
[20] Syed Fawad Hussain,et al. On retrieving intelligently plagiarized documents using semantic similarity , 2015, Eng. Appl. Artif. Intell..
[21] Inderjit S. Dhillon,et al. Information-theoretic co-clustering , 2003, KDD '03.
[22] Syed Fawad Hussain,et al. Biclustering of human cancer microarray data using co-similarity based co-clustering , 2016, Expert Syst. Appl..
[23] Gerard Salton,et al. A vector space model for automatic indexing , 1975, CACM.
[24] Anil K. Jain. Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..
[25] Patricio A. Vela,et al. A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm , 2012, Expert Syst. Appl..
[26] Syed Fawad Hussain,et al. Co-clustering of multi-view datasets , 2015, Knowledge and Information Systems.
[27] Stephen J. Redmond,et al. A method for initialising the K-means clustering algorithm using kd-trees , 2007, Pattern Recognit. Lett..
[28] G H Ball,et al. A clustering technique for summarizing multivariate data. , 1967, Behavioral science.
[29] D.M. Mount,et al. An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Mothd Belal Al-Daoud. A New Algorithm for Cluster Initialization , 2005, WEC.
[31] Ting Su,et al. In search of deterministic methods for initializing K-means and Gaussian mixture clustering , 2007, Intell. Data Anal..
[32] Djemel Ziou,et al. Segmentation of Terahertz imaging using k-means clustering based on ranked set sampling , 2015, Expert Syst. Appl..
[33] Gilles Bisson,et al. Chi-Sim: A New Similarity Measure for the Co-clustering Task , 2008, 2008 Seventh International Conference on Machine Learning and Applications.
[34] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[35] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[36] Jiye Liang,et al. An initialization method for the K-Means algorithm using neighborhood model , 2009, Comput. Math. Appl..
[37] Gilles Bisson,et al. Co-clustering of Multi-view Datasets: A Parallelizable Approach , 2012, 2012 IEEE 12th International Conference on Data Mining.
[38] E. Forgy,et al. Cluster analysis of multivariate data : efficiency versus interpretability of classifications , 1965 .
[39] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[40] Renato Cordeiro de Amorim,et al. Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering , 2012, Pattern Recognit..
[41] Christian Sohler,et al. Theoretical Analysis of the k-Means Algorithm - A Survey , 2016, Algorithm Engineering.
[42] Syed Fawad Hussain. Bi-clustering Gene Expression Data Using Co-similarity , 2011, ADMA.
[43] Domenico Talia,et al. A Divise Initialisation Method for Clustering Algorithms , 1999, PKDD.