Author(s)

Jiangyan Sun, Huiming Su, Yuan Zhou

Corresponding Author

Jiangyan Sun

Abstract

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.

Keywords

Image segmentation algorithm, Cluster analysis, Fuzzy cluster.