Estimating the number of clusters in a numerical data set via quantization error modeling

作者：

Highlights：

• A parameterized model for the clustering error is introduced.

• The model parameter is a measure of the data dimension and homogeneity.

• A new cost criterion is derived from the properties of the model.

• The method demonstrates good results for numerical data sets.

摘要

•A parameterized model for the clustering error is introduced.•The model parameter is a measure of the data dimension and homogeneity.•A new cost criterion is derived from the properties of the model.•The method demonstrates good results for numerical data sets.

论文关键词：Clustering,Number of clusters,Vector quantization,Color quantization,Dominant colors,Fractal dimensions

论文评审过程：Received 13 April 2014, Revised 10 August 2014, Accepted 15 September 2014, Available online 30 September 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.09.017