'Cluster assignments' diaporamas de présentation

Extracting Semantic Networks From Text Via Relational Clustering

484 views • 39 slides

A Probabilistic Framework for Semi-Supervised Clustering

A Probabilistic Framework for Semi-Supervised Clustering. Sugato Basu Mikhail Bilenko Raymond J. Mooney Dept ment of Computer Sciences University of Texas at Austin Presented by Jingting Zeng. Outline. Introduction Background Algorithm Experiments Conclusion.

637 views • 30 slides

Dirichlet Process Mixtures A gentle tutorial

584 views • 27 slides

Constrained K-means Clustering with Background Knowledge

Constrained K-means Clustering with Background Knowledge. Wagstaff , Cardie , Rogers, Schroedl Proc. 18 th ICML, 2001. Background Knowledge. How to integrate background information (about the domain or the data set) into clustering algorithms Supervision in clustering can take two forms

296 views • 20 slides

Combinatorial clustering algorithms. Example: K-means clustering

Combinatorial clustering algorithms. Example: K-means clustering. Clustering algorithms. Goal: partition the observations into groups ("clusters") so that the pairwise dissimilarities between those assigned to the same cluster tend to be smaller than those in different clusters.

336 views • 9 slides