一种基于最大模糊熵的高斯聚类算法
A Gaussian Clustering Method Based on Maximum Fuzzy Entropy
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摘要: 介绍了一种新的模糊聚类方法,定义了模糊熵,提出了基于最大模糊熵的模糊聚类的方法,得到了一种新的聚类算法——GCM算法。该算法的物理意义清晰,有明确的数学含义,相对于传统的FCM聚类算法,其聚类效果更好。Abstract: This paper proposes a new method for fuzzy clustering. Fuzzy entropy is defined at first,then a new fuzzy clustering method based on maximum fuzzy entropy is proposed, that is GCM method.Compared to traditional FCM method, this method has clearer physical meaning and well-defined mathematical features. It also has better clustering results.