A density-grid-based method for clustering k-dimensional data

In this paper, we propose a novel density-grid-based method for clustering k -dimensional data. KIDS, an acronym for K -dimensional Ink Drop Spread, detects densely-connected pieces of data in k -dimensional grids. It enables one to simultaneously exploit the advantages of fuzzy logic, as well as bo...

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Bibliographic Details
Published in:	Applied intelligence (Dordrecht, Netherlands) Vol. 53; no. 9; pp. 10559 - 10573
Main Authors:	Kashani, Elham S., Bagheri Shouraki, Saeed, Norouzi, Yaser, De Baets, Bernard
Format:	Journal Article
Language:	English
Published:	New York Springer US 01-05-2023 Springer Nature B.V
Subjects:	Accuracy Algorithms Artificial Intelligence Clustering Computer Science Data points Density Electrical engineering Fuzzy logic Fuzzy sets Machines Manufacturing Mechanical Engineering Methods Neighborhoods Processes Processing speed Aggregation dimensional data Density-grid-based method Clustering Diffusion
Online Access:	Get full text
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