Data Mining and Mathematical Programming

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Supplemental Materials

Please wait while the item is added to your bag...

Support vector machines and distance minimization
0-1 semidefinite programming for graph-cut clustering: Modelling and approximation
Artificial attributes in analyzing biomedical databases
Recent advances in mathematical programming for classification and cluster analysis
Nonlinear skeletons of data sets and applications–Methods based on subspace clustering
Current classification algorithms for biomedical applications
Bilevel model selection for support vector machines
Algorithms for detecting complete and partial horizontal gene transfers: Theory and practice
Nonlinear knowledge in kernel machines
Ultrametric embedding: Application to data fingerprinting and to fast data clustering
Selective linear and nonlinear classification
Table of Contents provided by Publisher. All Rights Reserved.