Global convergence and empirical consistency of the generalized Lloyd algorithm
IEEE Transactions on Information Theory
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Artificial Intelligence Review - Special issue on lazy learning
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Clustering hypertext with applications to web searching
HYPERTEXT '00 Proceedings of the eleventh ACM on Hypertext and hypermedia
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Clustering Algorithms
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Microeconomic View of Data Mining
Data Mining and Knowledge Discovery
Concept Decompositions for Large Sparse Text Data Using Clustering
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Efficient Feature Selection in Conceptual Clustering
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Refining Initial Points for K-Means Clustering
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Feature Selection as a Preprocessing Step for Hierarchical Clustering
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Model Selection in Unsupervised Learning with Applications To Document Clustering
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
User-chosen phrases in interactive query formulation for information retrieval
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
A divisive information theoretic feature clustering algorithm for text classification
The Journal of Machine Learning Research
Learner: a system for acquiring commonsense knowledge by analogy
Proceedings of the 2nd international conference on Knowledge capture
Simultaneous Feature Selection and Clustering Using Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document clustering based on cluster validation
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Automated Variable Weighting in k-Means Type Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Clustering with Bregman Divergences
The Journal of Machine Learning Research
Learning word senses with feature selection and order identification capabilities
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Information Processing and Management: an International Journal
Locally adaptive metrics for clustering high dimensional data
Data Mining and Knowledge Discovery
Understanding complex IT environments using information analytics and visualization
Proceedings of the 2007 symposium on Computer human interaction for the management of information technology
A Unified Continuous Optimization Framework for Center-Based Clustering Methods
The Journal of Machine Learning Research
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
Localized feature selection for clustering
Pattern Recognition Letters
A heuristic algorithm for clustering rooted ordered trees
Intelligent Data Analysis
Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm
Computational Statistics & Data Analysis
Fuzzy Q-Learning with the modified fuzzy ART neural network
Web Intelligence and Agent Systems
State space segmentation for acquisition of agent behavior
Web Intelligence and Agent Systems
Identification of association rules between clusters
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Clustering with Feature Order Preferences
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Unsupervised feature weighting with multi niche crowding genetic algorithms
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Deterministic Pivoting Algorithms for Constrained Ranking and Clustering Problems
Mathematics of Operations Research
COBRA - mining web for COrporate Brand and Reputation Analysis
Web Intelligence and Agent Systems
Knowledge-Based Systems
SKM-SNP: SNP markers detection method
Journal of Biomedical Informatics
Business insights workbench: an interactive insights discovery solution
Proceedings of the 2007 conference on Human interface: Part II
Regularized data fusion improves image segmentation
Proceedings of the 29th DAGM conference on Pattern recognition
Ensemble learning based distributed clustering
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Clustering with feature order preferences
Intelligent Data Analysis - Artificial Intelligence
Document clustering using synthetic cluster prototypes
Data & Knowledge Engineering
Adapt the mRMR criterion for unsupervised feature selection
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Expert Systems with Applications: An International Journal
Integrating hierarchical feature selection and classifier training for multi-label image annotation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
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
A novel fuzzy c-means clustering algorithm
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Data clustering: a user’s dilemma
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
An optimized k-means algorithm of reducing cluster intra-dissimilarity for document clustering
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Feature interaction in subspace clustering using the Choquet integral
Pattern Recognition
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
Runtime estimation using the case-based reasoning approach for scheduling in a grid environment
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
An unsupervised feature selection framework based on clustering
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Attribute value weighting in k-modes clustering
Expert Systems with Applications: An International Journal
Improvement of k-means clustering using patents metadata
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Weighting features for partition around medoids using the minkowski metric
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
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
Information Sciences: an International Journal
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Data sets with multiple, heterogeneous feature spaces occur frequently. We present an abstract framework for integrating multiple feature spaces in the k-means clustering algorithm. Our main ideas are (i) to represent each data object as a tuple of multiple feature vectors, (ii) to assign a suitable (and possibly different) distortion measure to each feature space, (iii) to combine distortions on different feature spaces, in a convex fashion, by assigning (possibly) different relative weights to each, (iv) for a fixed weighting, to cluster using the proposed convex k-means algorithm, and (v) to determine the optimal feature weighting to be the one that yields the clustering that simultaneously minimizes the average within-cluster dispersion and maximizes the average between-cluster dispersion along all the feature spaces. Using precision/recall evaluations and known ground truth classifications, we empirically demonstrate the effectiveness of feature weighting in clustering on several different application domains.