A density-peak-based clustering algorithm of automatically determining the number of clusters-Reference-Cited by-同舟云学术

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A density-peak-based clustering algorithm of automatically determining the number of clusters

Published:2021-10 Issue: Volume:458 Page:655-666
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Tong Wuning,Liu Sen,Gao Xiao-Zhi

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

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2. Automatic clustering via outward statistical testing on density metrics;Wang;IEEE Transactions on Knowledge and Data Engineering,2016

3. Detecting clinically meaningful shape clusters in medical image data: Metrics analysis for hierarchical clustering applied to healthy and pathological aortic arches;Bruse;IEEE Transactions on Biomedical Engineering,2017

4. Pattern recognition techniques for the emerging field of bioinformatics: a review;Liew;Pattern Recognition,2005

5. 3D clusters of somatic mutations in cancer reveal numerous rare mutations as functional targets;Gao;Genome Medicine,2017

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