SVD: SVD

In admurali/self: Simple Exploratory Learning Framework

Description

SVD

Usage

SVD(matrix, quantile = 0.8, plot = TRUE, print = TRUE)

Arguments

matrix	is the dataset containing the observations.
quantile	is the parameter used for selecting columns that achieves the degree of explanation

Value

Returns a SVD barchar or list with vector with the column numbers that were found to be the key variables and the svd calculation Subsets given data using column names or number and performs k-means clustering on the subset data with error handling.

Author(s)

Adithya Murali

See Also

kmeans

Examples

print(SVD(mtcars))

admurali/self documentation built on May 10, 2019, 5:56 a.m.