Determination of the optimal number of clusters using a spectral clustering optimization
作者：
Highlights：
• A new approach to find the optimal number of clusters is presented.
• This approach is used for the Spectral Clustering algorithm.
• The method is tested using synthetic data and images.
• Two ways to calculate the optimal number of groups in an image are presented.
• Three methods for image segmentation are proposed.
摘要
•A new approach to find the optimal number of clusters is presented.•This approach is used for the Spectral Clustering algorithm.•The method is tested using synthetic data and images.•Two ways to calculate the optimal number of groups in an image are presented.•Three methods for image segmentation are proposed.
论文关键词：Spectral clustering,Optimal number of clusters,Silhouette Index,Local scaling,Image segmentation
论文评审过程：Received 18 March 2016, Revised 23 July 2016, Accepted 20 August 2016, Available online 26 August 2016, Version of Record 1 September 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.059
