Clasificación no supervisada con aplicaciones a Bioinformática

Prof. Ruben Zamar


Introduction and motivation

k-means clustering

  – clusters strength

  – the number of clusters

Sparse k-means

Robust and sparse clusters

Linear clustering


Referencias:

1. Kaufman, Leonard and Rousseeuw, Peter J. “Finding Groups in Data: An Introduction to Cluster Analysis” Wiley.
2. D. M.Witten and R. Tibshirani. A framework for feature selection in clustering. Journal of the American Statistical Association, 713– 726, 2010.
3. A. G. J. A. Cuesta-Albertos and C. Matran. Trimmed k-means: An at- tempt to robustify quantizers. The Annals of Statistics, 25(2):553– 576,1997.
4. Garcia-Escudero, L.A., Gordaliza, A., San Martin, R., Van Aelst, S. and Zamar, R.H. “Robust Linear Clustering” JRSS.