Adaptive soft subspace clustering combining within-cluster and between-cluster information

[1]  William M. Rand,et al.  Objective Criteria for the Evaluation of Clustering Methods , 1971 .

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

[3]  Renato Cordeiro de Amorim,et al.  Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering , 2012, 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]  Zhaohong Deng,et al.  Fuzzy partition based soft subspace clustering and its applications in high dimensional data , 2013, Inf. Sci..

[6]  Zhiping Zhou,et al.  Kernel-based multiobjective clustering algorithm with automatic attribute weighting , 2018, Soft Comput..

[7]  Philip S. Yu,et al.  Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[8]  Zahid Mehmood,et al.  A novel method for content-based image retrieval to improve the effectiveness of the bag-of-words model using a support vector machine , 2018, J. Inf. Sci..

[9]  Zahid Mehmood,et al.  Scene search based on the adapted triangular regions and soft clustering to improve the effectiveness of the visual-bag-of-words model , 2018, EURASIP J. Image Video Process..

[10]  Jianhong Wu,et al.  A convergence theorem for the fuzzy subspace clustering (FSC) algorithm , 2008, Pattern Recognit..

[11]  Michael K. Ng,et al.  An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data , 2007, IEEE Transactions on Knowledge and Data Engineering.

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

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

[14]  Zahid Mehmood,et al.  Scene analysis and search using local features and support vector machine for effective content-based image retrieval , 2018, Artificial Intelligence Review.

[15]  Hong Jia,et al.  Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[16]  Zhaohong Deng,et al.  Enhanced soft subspace clustering integrating within-cluster and between-cluster information , 2010, Pattern Recognit..

[17]  Camille Roth,et al.  Natural Scales in Geographical Patterns , 2017, Scientific Reports.

[18]  Anil K. Jain Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..

[19]  Jian Zhuang,et al.  Novel soft subspace clustering with multi-objective evolutionary approach for high-dimensional data , 2013, Pattern Recognit..

[20]  Hafiz Adnan Habib,et al.  A hybrid technique for speech segregation and classification using a sophisticated deep neural network , 2018, PloS one.

[21]  Mustansar Ali Ghazanfar,et al.  Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems , 2019, PloS one.

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

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