Classification of binary vectors by stochastic complexity

Classification of binary vectors by using ΔSC distance to minimize stochastic complexity

Pattern Recognition Letters

Entropy-based criterion in categorical clustering

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Knowledge Accumulation and Resolution of Data Inconsistencies during the Integration of Microbial Information Sources

IEEE Transactions on Knowledge and Data Engineering

A Unified View on Clustering Binary Data

Machine Learning

On multivariate binary data clustering and feature weighting

Computational Statistics & Data Analysis

Integrating spatial and color information in images using a statistical framework

Expert Systems with Applications: An International Journal

On combining multiple clusterings: an overview and a new perspective

Applied Intelligence

Have I seen you before? Principles of Bayesian predictive classification revisited

Statistics and Computing