Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data.

IEEE Transactions on Neural Networks and Learning Systems(2019)

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摘要
The balance of neighborhood space around a central point is an important concept in cluster analysis. It can be used to effectively detect cluster boundary objects. The existing neighborhood analysis methods focus on the distribution of data, i.e., analyzing the characteristic of the neighborhood space from a single perspective, and could not obtain rich data characteristics. In this paper, we ana...
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关键词
Clustering algorithms,Learning systems,Detection algorithms,Gravity,Computational modeling,Australia
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