API for RJcluster
A Fast Clustering Algorithm for High Dimensional Data Based on the Gram Matrix Decomposition

Global functions
.onAttach Source code
Gcov_c Source code
Gcov_old Source code
Mutual_Information Man page Source code
RJ_bic Source code
RJ_bic_scale Source code
RJ_hockey_stick Source code
RJ_hockey_stick_scale Source code
RJ_mean Source code
RJ_mean_c Source code
RJ_mean_old Source code
RJclust Man page Source code
RJclust_aic_bic Source code
RJclust_backend Source code
RJclust_fullcovariance Source code
RJclust_noscale_mnist Source code
RJcluster Man page
RJcluster-package Man page
RJclusterStartupMessage Source code
assignGroups Source code
assignGroups_c Source code
bic_G Source code
cleanFindCC Source code
dmvnrm_arma Source code
dmvnrm_arma_fast Source code
dmvnrm_arma_old Source code
emstep Source code
f_emi Source code
f_nij Source code
finalClustering Source code
getCCmatrix_c Source code
getFinalMeans_c Source code
getIndividualList Source code
getMatrixMeans_c Source code
getMeansMatrix Source code
get_gamma_c Source code
get_gamma_labels_c Source code
get_mean_values_c Source code
get_mu_c Source code
initialClustering Source code
loglik_G Source code
loglik_G_c Source code
nparams_G Source code
rcpparma_bothproducts Source code
rcpparma_hello_world Source code
rcpparma_innerproduct Source code
rcpparma_outerproduct Source code
scaleRJ Source code
scale_c Source code
secondClustering Source code
simulate_HD_data Man page Source code
step_five_c Source code
step_four_c Source code
step_three_c Source code
step_two_c Source code
tcrossprod_c Source code
weights_multi Source code
weights_multi_c Source code
weights_multi_matrix_c Source code
RJcluster documentation built on March 18, 2022, 5:08 p.m.