DETERMINE OPTIMUM NUMBER OF COMPACT OVERLAPPED CLUSTERS USING FRLVQ TECHNIQUE

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作者：
Xu Wenhuan Huang Qiang Ji Zhen Zhang Jihong Faculty of Information Engineering Shenzhen University Shenzhen China [518060 ]
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JournalofElectronics. | 2005年 / 06期
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摘要：
<正>A method, named XHJ-method, is proposed in this letter to determine the number of clusters of a data set, which incorporates with the Fuzzy Reinforced Learning Vector Quantization (FRLVQ) technique. The simulation results show that this new method works well for the traditional iris data and an artificial data set, which contains un-equally sized and spaced clusters.
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