A Fast Granular-Ball-Based Density Peaks Clustering Algorithm for Large-Scale Data

Density peaks clustering algorithm (DP) has difficulty in clustering large-scale data, because it requires the distance matrix to compute the density and <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>-distance for each object, which...

Full description

Bibliographic Details

Published in:	IEEE transaction on neural networks and learning systems Vol. 35; no. 12; pp. 17202 - 17215
Main Authors:	Cheng, Dongdong, Li, Ya, Xia, Shuyin, Wang, Guoyin, Huang, Jinlong, Zhang, Sulan
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.12.2024
Subjects:	Approximation algorithms Big Data Clustering Clustering algorithms density peaks (DPs) granular balls (GBs) Kernel large scale Partitioning algorithms Supervised learning Time complexity
ISSN:	2162-237X, 2162-2388, 2162-2388
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!