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Functions
Functions
 
 
README.md
README.md
 
 
agg_gower_2data_with_cat.m
agg_gower_2data_with_cat.m
 
 
cate_S1_X_R_1.mat
cate_S1_X_R_1.mat
 
 
cate_S1_Y_R_1.mat
cate_S1_Y_R_1.mat
 
 
cluster_rand_group.m
cluster_rand_group.m
 
 
cox_cvxclu_subproblem.m
cox_cvxclu_subproblem.m
 
 
example_code.m
example_code.m
 
 
exist_methods.m
exist_methods.m
 
 
gaus_S1_X_R_1.mat
gaus_S1_X_R_1.mat
 
 
gaus_S1_Y_R_1.mat
gaus_S1_Y_R_1.mat
 
 
gaus_cov_X_R_1.mat
gaus_cov_X_R_1.mat
 
 
gaus_cov_Y_R_1.mat
gaus_cov_Y_R_1.mat
 
 
gaus_cov_Z_R_1.mat
gaus_cov_Z_R_1.mat
 
 
get_cluster_assignment.m
get_cluster_assignment.m
 
 
gower.m
gower.m
 
 
gower_2data.m
gower_2data.m
 
 
gower_2data_with_cat.m
gower_2data_with_cat.m
 
 
gower_weighted.m
gower_weighted.m
 
 
gower_weighted_with_cat.m
gower_weighted_with_cat.m
 
 
gower_with_cat.m
gower_with_cat.m
 
 
group_assign_vertice.m
group_assign_vertice.m
 
 
group_soft_threshold.m
group_soft_threshold.m
 
 
hclust_gower_2class.m
hclust_gower_2class.m
 
 
hclust_gower_2class_cat.m
hclust_gower_2class_cat.m
 
 
icc_methods_2data.m
icc_methods_2data.m
 
 
icc_methods_2data_cat.m
icc_methods_2data_cat.m
 
 
knn_weight_each_node_union_random_Kth_gower_concat_2data.m
knn_weight_each_node_union_random_Kth_gower_concat_2data.m
 
 
knn_weight_gower_concat_2data_weighted.m
knn_weight_gower_concat_2data_weighted.m
 
 
knn_weight_gower_concat_2data_weighted_tune.m
knn_weight_gower_concat_2data_weighted_tune.m
 
 
knn_weight_gower_concat_2data_weighted_tune_cat.m
knn_weight_gower_concat_2data_weighted_tune_cat.m
 
 
knn_weight_gower_weighted_dense.m
knn_weight_gower_weighted_dense.m
 
 
knn_weight_gower_weighted_dense_cat.m
knn_weight_gower_weighted_dense_cat.m
 
 
logi_S1_X_R_1.mat
logi_S1_X_R_1.mat
 
 
logi_S1_Y_R_1.mat
logi_S1_Y_R_1.mat
 
 
nat_poisson_Usub.m
nat_poisson_Usub.m
 
 
nat_poisson_bc_obj.m
nat_poisson_bc_obj.m
 
 
rand_index.m
rand_index.m
 
 
run_code_pipeline1.m
run_code_pipeline1.m
 
 
scc.m
scc.m
 
 
scc_binary.m
scc_binary.m
 
 
scc_binary_ARP.m
scc_binary_ARP.m
 
 
scc_binary_ARP_v2.m
scc_binary_ARP_v2.m
 
 
scc_binary_with_cov.m
scc_binary_with_cov.m
 
 
scc_binary_with_cov_ARP.m
scc_binary_with_cov_ARP.m
 
 
scc_category.m
scc_category.m
 
 
scc_category_ARP.m
scc_category_ARP.m
 
 
scc_count.m
scc_count.m
 
 
scc_count_ARP.m
scc_count_ARP.m
 
 
scc_count_with_cov.m
scc_count_with_cov.m
 
 
scc_gaus.m
scc_gaus.m
 
 
scc_gaus_ARP.m
scc_gaus_ARP.m
 
 
scc_gaus_ARP_v2.m
scc_gaus_ARP_v2.m
 
 
scc_gaus_with_cov.m
scc_gaus_with_cov.m
 
 
scc_gaus_with_cov_ARP.m
scc_gaus_with_cov_ARP.m
 
 
scc_surv.m
scc_surv.m
 
 
scc_surv_ARP.m
scc_surv_ARP.m
 
 
select_K_target_gower.m
select_K_target_gower.m
 
 
select_phi.m
select_phi.m
 
 
sim_generator_s1.m
sim_generator_s1.m
 
 

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Supervised Convex Clustering

This repository provides the codes of Minjie Wang, Tianyi Yao and Genevera I. Allen "Supervised Convex Clustering" (2020+).

Directory Summary

  • Functions: contains functions to perform Supervised Convex Clustering

How to Use

  1. Download repository of Functions
  2. Run example usage file: example_code.m

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