ba1e3710a94136f23cf63c02f8d44232 *DESCRIPTION
c9c69a326502c31a65128654c3c08cb5 *LICENSE
1cf3e5d5262851d34692258a58312008 *NAMESPACE
4c13c089509068cdf8376577275accef *NEWS.md
934023335a95f7a12f5e24ab47ca3a38 *R/RcppExports.R
2b6e37532c1d8970add0adc137ed8328 *R/clustering_functions.R
85c4ffce66562f38432b4bb1bb38fe82 *README.md
be5879212a42466194120a1ae4e567f5 *build/vignette.rds
8b6687f3bb9c58cd74ae67670872215d *data/dietary_survey_IBS.rda
aa58963ebd13c4c91edf809ca4efc5d4 *data/mushroom.rda
a9e3dfd8650ed7d2d0a91d3880a67f7b *data/soybean.rda
87a9ec1ef4480e036e4f4f041367e77b *inst/doc/the_clusterR_package.R
e7555486d59e736a94238dae84995d02 *inst/doc/the_clusterR_package.Rmd
9085bd5dee883567b3743d17a6c3963e *inst/doc/the_clusterR_package.html
94cd0d57e5b44e47a3746a7979a4088f *man/Clara_Medoids.Rd
c4f35a38b1a4271caf0a29ed616c45ba *man/Cluster_Medoids.Rd
853d94cb9bf0db952fee7ce47788baa5 *man/GMM.Rd
add088ce3a97143c6a7920c2a5d04df4 *man/KMeans_arma.Rd
f05e6d0f2182380d0373d5f976292c7f *man/KMeans_rcpp.Rd
66152d79ea97f9fc524403e8a8f4acc6 *man/MiniBatchKmeans.Rd
e0427f0525c0407bbdcb48ca5dc8f7ca *man/Optimal_Clusters_GMM.Rd
bffb0081a4d9e3a7ea1af8087a762cfb *man/Optimal_Clusters_KMeans.Rd
c84b2645d14b6c057736ea9015fcc582 *man/Optimal_Clusters_Medoids.Rd
43ac28a91d5922a30be1d5a2b1a69da2 *man/Silhouette_Dissimilarity_Plot.Rd
e22a73fe44714937058cc67e21c1c783 *man/center_scale.Rd
1854ae3f31126641f9d7c10986828865 *man/dietary_survey_IBS.Rd
a1000c029258e8899e8a314202203514 *man/distance_matrix.Rd
5375b74972bae6014e2df222a06e66b6 *man/entropy_formula.Rd
6481416e7515a13cf5fa0c7933959989 *man/external_validation.Rd
7fba796de74a521b8d53585b34190efa *man/function_interactive.Rd
927528749edcef3b9d584eb83190667f *man/mushroom.Rd
16da6ce11b164d15d4ddf7adc8ba55be *man/plot_2d.Rd
65343c044e69cb69fcac8840bc1e67fa *man/predict_GMM.Rd
de54b691b463b29936c19043c21860b1 *man/predict_KMeans.Rd
570713a4ddeb18b631120fff9700a105 *man/predict_MBatchKMeans.Rd
cd805bfc471c3894870346627bb3b047 *man/predict_Medoids.Rd
379066f30b28a4cf8a793edc1d0589f5 *man/soybean.Rd
6c290a2ae91a58e535ef1adac77e8e57 *man/tryCatch_GMM.Rd
9e21127499fb7ce22636287667ea3b34 *man/tryCatch_KMEANS_arma.Rd
62231fa9f6be487bdbf9f95625d39c0b *man/tryCatch_optimal_clust_GMM.Rd
16d006bf40b078243e18207776416cf7 *src/Makevars
18579fb24623b1813f3972b33fe55dac *src/Makevars.win
57d82fb7fb243401d95778a383858c35 *src/RcppExports.cpp
f16c58ca42f126453aaf7ae7f9efdc5e *src/init.c
914a5b40adf67f03f63b1d2d581e8fec *src/kmeans_miniBatchKmeans_GMM_Medoids.cpp
580cce096456bdd88fc875489a33be99 *src/utils_rcpp.cpp
76f46da484cec9e5763f21f16c309c50 *src/utils_rcpp.h
3243b3e7b85ca7953f191679629429ec *tests/testthat.R
4b34781ffe49287702dd06d09a4bae60 *tests/testthat/test-dissimilarity_matrices.R
1ef735012725c45b4a734242fe608e4e *tests/testthat/test-gmm.R
b0fbdfd21926c5ea528483c35f8e97e7 *tests/testthat/test-kmeans.R
d9425b004e11be0ace254948cfe84be8 *tests/testthat/test-medoids.R
d2a8fafb44bc41481ebab950e9946604 *tests/testthat/test-plot2d_silhouette_plot_ext_validation_center_scale_dist_mat.R
0504caa57b692a3c365ced1e5caf8356 *vignettes/Rplot.png
82787ff50682cf880f9b85227f28e260 *vignettes/Rplot_2d.png
33e3d9298f75a3d7c4c29da55f0af71a *vignettes/Rplot_clara.png
18c9d3881cd1bcc0603e75a107f34bea *vignettes/Rplot_cluster.png
2e5584857902f4f24449491c30d73ac0 *vignettes/dog.jpg
0141cea98ab766cdd578c5d991c0fead *vignettes/elephant.jpg
e7555486d59e736a94238dae84995d02 *vignettes/the_clusterR_package.Rmd
