A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data-Reference-Cited by-同舟云学术

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A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data

Published:2023-04 Issue: Volume:136 Page:109238
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Ding Shifei,Li Chao,Xu Xiao,Ding Ling,Zhang Jian,Guo Lili,Shi Tianhao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. LABIN: balanced min cut for large-scale data;Chen;IEEE Trans. Neural Netw. Learn. Syst.,2020

2. Clustering by centroid drift and boundary shrinkage;Qv;Pattern Recognit,2022

3. Deep self-representative subspace clustering network;Baek;Pattern Recognit,2021

4. Directly solving normalized cut for multi-view data;Wang;Pattern Recognit,2022

5. Estimating the number of clusters in a dataset via consensus clustering;Unlu;Expert Syst. Appl.,2019

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4. A comprehensive survey of fast graph clustering;Vicinagearth;2024-09-13

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