RPEnsemble: Random Projection Ensemble Classification
Version 0.3

Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2015) Random projection ensemble classification. http://arxiv.org/abs/1504.04595". The random projection ensemble classifier is a general method for classification of high-dimensional data, based on careful combination of the results of applying an arbitrary base classifier to random projections of the feature vectors into a lower-dimensional space. The random projections are divided into non-overlapping blocks, and within each block the projection yielding the smallest estimate of the test error is selected. The random projection ensemble classifier then aggregates the results of applying the base classifier on the selected projections, with a data-driven voting threshold to determine the final assignment.

Package details

AuthorTimothy I. Cannings and Richard J. Samworth
Date of publication2016-09-01 21:06:03
MaintainerTimothy I. Cannings <t.cannings@statslab.cam.ac.uk>
URL http://arxiv.org/abs/1504.04595 http://www.statslab.cam.ac.uk/~tc325/
Package repositoryView on CRAN
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RPEnsemble documentation built on May 30, 2017, 2:47 a.m.