Applications Research on the Cluster Analysis in Image Segmentation Algorithm
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Jiangyan Sun, Huiming Su, Yuan Zhou
Clustering analysis is an unsupervised classification method, which classifies the samples by classifying the similarity. In the absence of prior knowledge, the image segmentation can be done by cluster analysis. This paper gives the concept of clustering analysis and two common cluster algorithms, which are FCM and K-Means clustering. The applications of the two clustering algorithms in image segmentation are explored in the paper to provide some references for the relevant researchers.
Image segmentation algorithm, Cluster analysis, Fuzzy cluster.