Multi-target regression and predictive clustering techniques constitute a rapidly evolving area within the field of machine learning. In multi-target regression, models are designed to predict a ...
Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 68, No. 3 (2006), pp. 457-476 (20 pages) The purpose of the paper is to present a new statistical approach to ...
Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...
Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...
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