| Type: | Package |
| Title: | Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections |
| Version: | 0.2.0 |
| Author: | Aritra Banerjee |
| Maintainer: | Aritra Banerjee <aritra306@gmail.com> |
| Description: | Uses locality sensitive hashing and creates a neighbourhood graph for a data set and calculates the adjusted rank index value for the same. It uses Gaussian random planes to decide the nature of a given point. Datar, Mayur, Nicole Immorlica, Piotr Indyk, and Vahab S. Mirrokni(2004) <doi:10.1145/997817.997857>. |
| License: | GPL-2 |
| Encoding: | UTF-8 |
| LazyData: | TRUE |
| Depends: | igraph, stringdist, reshape2, lsa |
| Imports: | stats, flexclust |
| RoxygenNote: | 6.0.1 |
| NeedsCompilation: | no |
| Packaged: | 2017-09-15 09:24:09 UTC; User |
| Repository: | CRAN |
| Date/Publication: | 2017-09-15 10:11:27 UTC |
Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections
Description
This package uses Locality Sensitive Hashing and creates a Neighbourhood Graph for a datset and calculates the ARI value for the same. It uses Gaussian Random planes to decide the nature of a given point.
Usage
LSH_Gaussian(mydata, result9)
Arguments
mydata |
A data frame consisting of the data set without the class column |
result9 |
A column which consists of the class column |
Examples
LSH_Gaussian(iris[,-5],iris$Species)