% DPC-PCA-KNN Implementation
% original paper tittle: Study on density peaks clustering based on k-nearest neighbors and principal component analysis
% Implemented by Yizhang Wang, Di Wang, Wei Pang, Chunyan Miao, Ah-Hwee Tan and You Zhou
%##########################
This is experiment version, we fine-turn parameters, all the data clustering results are same as the DPC-PCA-KNN in the original paper. Thus, this code is consistent with the idea of DPC-PCA-KNN clustering.
% ####parameter information######%
% d---reduce the original data to the d dimension by PCA.
% k---the parameter of KNN: k nearest data points,
% percent--- the parameter of DPC
%############################
start the DPC_PCA_KNN.m
you need revise your code path, data path, the 'cluster' is the final clustering results.
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We implemented the algorithm from paper"Study on density peaks clustering based on k-nearest neighbors and principal component analysis"