MuViCP v1.3.2
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MultiClass Visualizable Classification using Combination of Projections
An ensemble classifier for multiclass classification. This is a novel classifier that natively works as an ensemble. It projects data on a large number of matrices, and uses very simple classifiers on each of these projections. The results are then combined, ideally via Dempster-Shafer Calculus.
Functions in MuViCP
| Name | Description | |
| get.NN | Function to find the nearest neighbours | |
| least.k | Functions to find the few smallest elements in a vector. | |
| ensemble | Ensemble Objects for Classification | |
| bpa | Basic Probability Assignment Objects | |
| bel.builder | Building Belief Functions | |
| combine.ds | Combining Basic Probability Assignments | |
| MuViCP-package | MuViCP | |
| basis_random | Generate a random basis | |
| cancer | Wisconsin Breast Cancer Data from UCI website | |
| ab.dist | Distance Functions for nearest neighbours | |
| bpamat | Matrices of Basic Probability Assignment Objects | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2016-02-22 |
| License | GPL-3 |
| NeedsCompilation | no |
| Packaged | 2016-02-22 18:07:24 UTC; mohit |
| Repository | CRAN |
| Date/Publication | 2016-02-22 22:43:49 |
| depends | base (>= 2.10) , R (>= 2.10) |
| imports | gtools , MASS , parallel , sm |
| Contributors | Mohit Dayal |
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[](http://www.rdocumentation.org/packages/MuViCP)