meu_mv_impr: meu_mv_impr: Part of DCEM package.

Description Usage Arguments Value Author(s)

View source: R/dcem_init_mv.R

Description

Initialize the meu(s) by randomly selecting the samples from the dataset. It uses the proposed implementation from K-means++: The Advantages of Careful Seeding, David Arthur and Sergei Vassilvitskii. URL http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf.

Usage

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# Randomly seeding the meu.
meu_mv_impr(data, num_meu)

Arguments

data

(matrix): The dataset provided by the user.

num_meu

(numeric): The number of meu.

Value

A matrix containing the selected samples from the dataset.

Author(s)

Parichit Sharma parishar@iu.edu, Hasan Kurban, Mark Jenne, Mehmet Dalkilic

This work was partially supported by NCI Grant 1R01CA213466-01.


parichit/DCEM documentation built on Aug. 8, 2020, 1:17 a.m.