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Clustering task is aimed at classifying elements into clusters, which is applied to different fields of the human activity. In this paper, an efficient clustering method by fast search and find of density peaks (FSFDP) is used for medical data applications. Different computing methods of the local density are compared and analyzed. For datasets composed by a small number of points, the local density...
To detect the noise data in the datasets and remove them, a new approach for noise data detection based on fast search and find density peaks (FSFDP) and information entropy (IE) was proposed in this article. In the proposed method, FSFDP was used to cluster the original datasets and remove the outliers. Then construct the rectangular panes and mesh generation for each class according to the clustering...
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