Algorithms for clustering data
Algorithms for clustering data
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Data Mining and Knowledge Discovery
Feature Weighting in k-Means Clustering
Machine Learning
A fuzzy k-modes algorithm for clustering categorical data
IEEE Transactions on Fuzzy Systems
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data
IEEE Transactions on Knowledge and Data Engineering
A k-mean clustering algorithm for mixed numeric and categorical data
Data & Knowledge Engineering
Comparison between two coevolutionary feature weighting algorithms in clustering
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploitation of a parallel clustering algorithm on commodity hardware with P2P-MPI
The Journal of Supercomputing
A general grid-clustering approach
Pattern Recognition Letters
Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm
Computational Statistics & Data Analysis
Computational Intelligence and Security
Ordering Grids to Identify the Clustering Structure
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Subspace Vector Quantization and Markov Modeling for Cell Phase Classification
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
International Journal of Remote Sensing
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
ACM Transactions on Knowledge Discovery from Data (TKDD)
Clustering of document collection - A weighting approach
Expert Systems with Applications: An International Journal
Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Performance evaluation of density-based clustering methods
Information Sciences: an International Journal
Towards supporting expert evaluation of clustering results using a data mining process model
Information Sciences: an International Journal
A new separation measure for improving the effectiveness of validity indices
Information Sciences: an International Journal
Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
PCA-Guided k-Means with Variable Weighting and Its Application to Document Clustering
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
From variable weighting to cluster characterization in topographic unsupervised learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
SKM-SNP: SNP markers detection method
Journal of Biomedical Informatics
Quantization-based clustering algorithm
Pattern Recognition
A graph based framework for clustering and characterization of SOM
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Dampster-Shafer evidence theory based multi-characteristics fusion for clustering evaluation
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Feature-weighted mountain method with its application to color image segmentation
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Pattern Recognition Letters
Row-constained method for documents clustering
ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
Class-dependent projection based method for text categorization
Pattern Recognition Letters
A subspace decision cluster classifier for text classification
Expert Systems with Applications: An International Journal
Weight selection in W-K-means algorithm with an application in color image segmentation
Computers & Mathematics with Applications
Sample-weighted clustering methods
Computers & Mathematics with Applications
Eigenvector sensitive feature selection for spectral clustering
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Expert Systems with Applications: An International Journal
A novel fuzzy c-means clustering algorithm
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Engineering Applications of Artificial Intelligence
Weighted fuzzy c-means clustering based on double coding genetic algorithm
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
DHCC: Divisive hierarchical clustering of categorical data
Data Mining and Knowledge Discovery
Feature interaction in subspace clustering using the Choquet integral
Pattern Recognition
A cluster centers initialization method for clustering categorical data
Expert Systems with Applications: An International Journal
Simultaneous pattern and variable weighting during topological clustering
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Clustering by integrating multi-objective optimization with weighted k-means and validity analysis
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
A non-parametric method for data clustering with optimal variable weighting
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
An unsupervised feature selection framework based on clustering
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Partitive clustering (K-means family)
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Attribute value weighting in k-modes clustering
Expert Systems with Applications: An International Journal
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Robust local feature weighting hard c-means clustering algorithm
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
International Journal of Metadata, Semantics and Ontologies
Weighting features for partition around medoids using the minkowski metric
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
On initializations for the minkowski weighted k-means
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
A novel fuzzy clustering algorithm with between-cluster information for categorical data
Fuzzy Sets and Systems
An ensemble of decision cluster crotches for classification of high dimensional data
Knowledge-Based Systems
RPCA: a novel preprocessing method for PCA
Advances in Artificial Intelligence
Fuzzy partition based soft subspace clustering and its applications in high dimensional data
Information Sciences: an International Journal
Local-to-global semi-supervised feature selection
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
International Journal of Metadata, Semantics and Ontologies
An optimized method for selection of the initial centers of k-means clustering
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Central clustering of categorical data with automated feature weighting
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Hartigan's K-means versus Lloyd's K-means: is it time for a change?
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Dynamic clustering of histogram data based on adaptive squared Wasserstein distances
Expert Systems with Applications: An International Journal
Category role aided market segmentation approach to convenience store chain category management
Decision Support Systems
A scatter method for data and variable importance evaluation
Integrated Computer-Aided Engineering
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This paper proposes a k\hbox{-}{\rm{means}} type clustering algorithm that can automatically calculate variable weights. A new step is introduced to the k\hbox{-}{\rm{means}} clustering process to iteratively update variable weights based on the current partition of data and a formula for weight calculation is proposed. The convergency theorem of the new clustering process is given. The variable weights produced by the algorithm measure the importance of variables in clustering and can be used in variable selection in data mining applications where large and complex real data are often involved. Experimental results on both synthetic and real data have shown that the new algorithm outperformed the standard k\hbox{-}{\rm{means}} type algorithms in recovering clusters in data.