Algorithms for clustering data
Algorithms for clustering data
Elements of information theory
Elements of information theory
Pattern theory: a unifying perspective
Perception as Bayesian inference
Classification of binary vectors by stochastic complexity
Journal of Multivariate Analysis
CACTUS—clustering categorical data using summaries
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
ROCK: a robust clustering algorithm for categorical attributes
Information Systems
Concept decompositions for large sparse text data using clustering
Machine Learning
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Clustering Algorithms
Machine Learning
COOLCAT: an entropy-based algorithm for categorical clustering
Proceedings of the eleventh international conference on Information and knowledge management
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Data Mining and Knowledge Discovery
Clustering Categorical Data: An Approach Based on Dynamical Systems
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Information-theoretic co-clustering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient multi-way text categorization via generalized discriminant analysis
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Document clustering by concept factorization
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Document clustering via adaptive subspace iteration
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Entropy-based criterion in categorical clustering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A general model for clustering binary data
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Criterion functions for document clustering
Criterion functions for document clustering
A structure-based clustering on LDAP directory information
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Use of ternary similarities in graph based clustering for protein structural family classification
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
On combining multiple clusterings: an overview and a new perspective
Applied Intelligence
Classification of textual E-mail spam using data mining techniques
Applied Computational Intelligence and Soft Computing
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Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This paper studies the problem of clustering binary data. Binary data have been occupying a special place in the domain of data analysis. A unified view of binary data clustering is presented by examining the connections among various clustering criteria. Experimental studies are conducted to empirically verify the relationships.