Density Peaks Clustering Based on Local Minimal Spanning Tree

Density Peaks Clustering Based on Local Minimal Spanning Tree

The fake center is a common problem of density-based clustering algorithms, especially for datasets with clusters of different shapes and densities. Clustering by fast search and find of density peaks (DPC) and its improved versions often ignore the effect of fake centers on clustering quality. They...

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Bibliographic Details
Main Authors: Renmin Wang, Qingsheng Zhu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Clustering
density peaks
fake centers
local minimal spanning tree
representative points
Online Access:https://ieeexplore.ieee.org/document/8768009/

Internet

https://ieeexplore.ieee.org/document/8768009/

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