Locality-sensitive hashing K-means algorithm for large-scale datasets

Locality-sensitive hashing K-means algorithm for large-scale datasets

Efficient processing strategy for large datasets is a key support for coal mine intelligent constructions, such as the intelligent construction of coal mine safety monitoring and mining. To address the problem of insufficient clustering efficiency and accuracy of the K-means algorithm for large data...

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Bibliographic Details
Main Authors: WEI Feng, MA Long
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2023-03-01
Series:Gong-kuang zidonghua
Subjects:
intelligent mine
large-scale dataset
k-means clustering
locality-sensitive hashing
noise point filtering
density biased sampling
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022080018

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http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022080018

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