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一种利用k近邻密度支配域代表团的密度峰值聚类方法

License: MIT License

Python 85.13% Jupyter Notebook 3.20% C++ 7.95% Cython 3.72%
delegation density-peak-clustering

dwg-dpc's Introduction

DWG-DPC

一种利用k近邻密度支配域代表团的密度峰值聚类方法

大致**

利用knn图构建密度支配域,基于密度支配域,应用kmean++**采样代表团。再用高斯核函数和代表团近邻指向关系建立加权高斯域间相似度,最后使用DPC完成聚类。由于英文名Delegations based Weighted-Gaussian DPC,因此命名DWG-DPC。

注意

项目原来的名称是WassDPC,只是因为其相似度计算与wasserstein distance类似,所以才将其命名。其实这样实在不妥,因此才更改名称。项目中的wass_dpc.py是主要算法实现。

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