RandPro

Random Projection with Classification

Performs random projection using Johnson-Lindenstrauss (JL) Lemma (see William B.Johnson and Joram Lindenstrauss (1984) <doi:10.1090/conm/026/737400>). Random Projection is a dimension reduction technique, where the data in the high dimensional space is projected into the low dimensional space using JL transform. The original high dimensional data matrix is multiplied with the low dimensional projection matrix which results in reduced matrix. The projection matrix can be generated using the projection function that is independent to the original data. Then finally apply the classification task on the projected data.

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Description file content

Package
RandPro
Type
Package
Title
Random Projection with Classification
Version
0.2.0
Author
Aghila G, Siddharth R
Maintainer
Siddharth R
Description
Performs random projection using Johnson-Lindenstrauss (JL) Lemma (see William B.Johnson and Joram Lindenstrauss (1984) ). Random Projection is a dimension reduction technique, where the data in the high dimensional space is projected into the low dimensional space using JL transform. The original high dimensional data matrix is multiplied with the low dimensional projection matrix which results in reduced matrix. The projection matrix can be generated using the projection function that is independent to the original data. Then finally apply the classification task on the projected data.
License
GPL (>= 2)
Depends
caret
Imports
stats, e1071
Encoding
UTF-8
LazyData
TRUE
RoxygenNote
6.0.1
Repository
CRAN
NeedsCompilation
no
Packaged
2018-01-09 12:08:35 UTC; NIT
Date/Publication
2018-01-10 06:46:06 UTC

install.packages('RandPro')

0.2.0

6 days ago

Siddharth R

GPL (>= 2)

Depends on

caret

Imports

stats, e1071

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