A clustering algorithm based on grids for core data and adjacency relationships for edge data

Grid-based clustering algorithms have become a crucial method in the field of data mining due to their efficiency. However, they face challenges such as parameter sensitivity, poor adaptability to density variations, and misclassification of edge data. To address these issues, existing research prim...

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Vydáno v:	Scientific reports Ročník 15; číslo 1; s. 18390 - 36
Hlavní autor:	He, Honglei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 26.05.2025 Nature Publishing Group Nature Portfolio
Témata:	639/705 704/525 Accuracy Adaptability Adjacency relationships Algorithms Clustering Data mining Efficiency Georeferenced clustering Grid clustering Humanities and Social Sciences Hybrid clustering K-means multidisciplinary Science Science (multidisciplinary) K-means Hybrid clustering Grid clustering Adjacency relationships Georeferenced clustering
ISSN:	2045-2322, 2045-2322
On-line přístup:	Získat plný text
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