lowmemtkmeans: Low Memory Use Trimmed K-Means

Performs the trimmed k-means clustering algorithm with lower memory use. It also provides a number of utility functions such as BIC calculations.

AuthorAndrew Thomas Jones, Hien Duy Nguyen
Date of publication2017-01-08 12:07:33
MaintainerAndrew Thomas Jones <andrewthomasjones@gmail.com>
LicenseGPL (>= 3)
Version0.1.2

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Files in this package

lowmemtkmeans
lowmemtkmeans/tests
lowmemtkmeans/tests/testthat.R
lowmemtkmeans/tests/testthat
lowmemtkmeans/tests/testthat/test_three.rds
lowmemtkmeans/tests/testthat/test_four.rds
lowmemtkmeans/tests/testthat/test_one.rds
lowmemtkmeans/tests/testthat/test_multi_one.rds
lowmemtkmeans/tests/testthat/test_iris.R
lowmemtkmeans/tests/testthat/test_two.rds
lowmemtkmeans/tests/testthat/test_clust_one.rds
lowmemtkmeans/tests/testthat/test_BIC_one.rds
lowmemtkmeans/src
lowmemtkmeans/src/Makevars
lowmemtkmeans/src/tkmeans.cpp
lowmemtkmeans/src/Makevars.win
lowmemtkmeans/src/RcppExports.cpp
lowmemtkmeans/NAMESPACE
lowmemtkmeans/NEWS.md
lowmemtkmeans/R
lowmemtkmeans/R/RcppExports.R lowmemtkmeans/R/wrapper.R
lowmemtkmeans/README.md
lowmemtkmeans/MD5
lowmemtkmeans/DESCRIPTION
lowmemtkmeans/man
lowmemtkmeans/man/scale_mat_inplace.Rd lowmemtkmeans/man/tkmeans.Rd lowmemtkmeans/man/nearest_cluster.Rd lowmemtkmeans/man/cluster_BIC.Rd

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