A new topological clustering algorithm for interval data
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摘要
Highlights•We propose a clustering algorithm for interval data, based on a Self-Organizing Map.•Its major advantage is that the number of clusters to find is detected automatically.•The results confirm the effectiveness of the algorithm to deal with interval data.•The algorithm discriminates perfectly overlapped groups of different shapes.
论文关键词:Interval data,Clustering,Self-organizing map
论文评审过程:Author links open overlay panelGuénaëlCabanesaPerson1EnvelopeYounèsBennaniaRenaudDestenaybAndréHardyb
论文官网地址:https://doi.org/10.1016/j.patcog.2013.03.023