Enhanced subspace clustering through combining Minkowski distance and Cosine dissimilarity

[1]  Boris G. Mirkin,et al.  The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning , 2017, Pattern Recognit..

[2]  Yuping Zhang,et al.  Clustering by propagating probabilities between data points , 2016, Appl. Soft Comput..

[3]  Zhaohong Deng,et al.  Distance metric learning for soft subspace clustering in composite kernel space , 2016, Pattern Recognit..

[4]  Christian Hennig,et al.  Recovering the number of clusters in data sets with noise features using feature rescaling factors , 2015, Inf. Sci..

[5]  Dohan Kim,et al.  Group-theoretical vector space model , 2015, Int. J. Comput. Math..

[6]  Zhaohong Deng,et al.  Fuzzy partition based soft subspace clustering and its applications in high dimensional data , 2013, Inf. Sci..

[7]  Junjie Wu,et al.  Advances in K-means clustering: a data mining thinking , 2012 .

[8]  Renato Cordeiro de Amorim,et al.  Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering , 2012, Pattern Recognit..

[9]  Feng Zhao,et al.  Robust Local Feature Weighting Hard C-Means Clustering Algorithm , 2011, IScIDE.

[10]  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..

[11]  Anil K. Jain Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..

[12]  Yunming Ye,et al.  Weighting Method for Feature Selection in K-Means , 2007 .

[13]  Michel Verleysen,et al.  The Concentration of Fractional Distances , 2007, IEEE Transactions on Knowledge and Data Engineering.

[14]  Michael K. Ng,et al.  Automated variable weighting in k-means type clustering , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Vladimir Makarenkov,et al.  Optimal Variable Weighting for Ultrametric and Additive Trees and K-means Partitioning: Methods and Software , 2001, J. Classif..

[16]  Chungnan Lee,et al.  A Chinese-character-stroke-extraction algorithm based on contour information , 1998, Pattern Recognit..

[17]  Sankar K. Pal,et al.  Fuzzy sets and decisionmaking approaches in vowel and speaker recognition , 1977 .

[18]  Camille Roth,et al.  Natural Scales in Geographical Patterns , 1971, Scientific Reports.

[19]  Pengjiang Qian,et al.  Large-scale fuzzy multiple-medoid clustering method , 2017, J. Intell. Fuzzy Syst..

[20]  Zhihua Yang,et al.  Coalitional game with fuzzy payoffs and credibilistic nucleolus , 2017, J. Intell. Fuzzy Syst..

[21]  Shitong Wang,et al.  A robust fuzzy clustering algorithm using mean-field-approximation based hidden Markov random field model for image segmentation , 2017, J. Intell. Fuzzy Syst..

[22]  Lijuan Wang,et al.  Enhanced soft subspace clustering through hybrid dissimilarity , 2015, J. Intell. Fuzzy Syst..

[23]  Longbing Cao,et al.  Evolving soft subspace clustering , 2014, Appl. Soft Comput..

[24]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[25]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[26]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[27]  Manfred K. Warmuth,et al.  The{dollar}p{dollar}-Norm Generalization of the LMS Algorithm for Adaptive Filtering , 2022 .