'Fuzzy c' diaporamas de présentation

Clustering

Clustering. Basic concepts with simple examples Categories of clustering methods Challenges. What is clustering?. The process of grouping a set of physical or abstract objects into classes of similar objects. It is also called unsupervised learning .

680 views • 27 slides

Study of Loop Length & Residue Composition of ?-Hairpin Motif

Study of Loop Length & Residue Composition of ?-Hairpin Motif . Xin Zhan Nov 27, 2006. Outline. Research background about ?-hairpin motif My task overview Preliminary results Future works. ?-Hairpin Motif. Simplest protein motif involving two beta strands [from Wikipedia]

589 views • 25 slides

Recommender system

413 views • 22 slides

Sub-population Analysis Based on Temporal Features of High Content Images

Sub-population Analysis Based on Temporal Features of High Content Images. Merlin Veronika, James Evans, Paul Matsudaira, Roy Welsch and Jagath Rajapakse. InCoB 2009 Singapore 10 th September 2009 . Outline. Motivation

309 views • 22 slides

1 University of Rouen, LITIS EA4108, Rouen, France 2 Centre Henri-Becquerel, Rouen, France

370 views • 19 slides

The Generalized Condensed Nearest Neighbor Rule as A Data Reduction Method

The Generalized Condensed Nearest Neighbor Rule as A Data Reduction Method. C.H Chou, B.H Kuo & F Chang Institute of Information Science, Academia Sinica, Taipei, Taiwan. ICPR 2006. Abstract. we propose a new data reduction algorithm GCNN( Generalized Condensed Nearest Neighbor ) .

396 views • 17 slides

An Efficient Initialization Method for Nonnegative Matrix Factorization

290 views • 12 slides