In this paper, a new clustering algorithm based on model is proposed, it finds the best fit of the given data to mathematical model by optimizing the fit between the data and model.

 
  • 提出一种新的基于模型的聚类算法,通过优化给定的数据和数学模型之间的适应性发现数据对模型的最好匹配。
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