| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1180537 | Chemometrics and Intelligent Laboratory Systems | 2007 | 15 Pages |
Abstract
Performance of the proposed method has been evaluated by means of several classification data sets taken from literature and compared with the most popular classification methods. Final results seem to indicate that CAIMAN performs well and, in most of the analysed cases, better than the other classification methods.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
R. Todeschini, D. Ballabio, V. Consonni, A. Mauri, M. Pavan,