Abstract: Clustering is a data analysis technique that can form different subsets of similar objects through clustering methods, and the objects in the same subset have some similar properties. Common methods include the number of adjacent points in the same space, and the The shortest spatial distance in the coordinate axis, etc., the application fields include machine learning, data mining, pattern recognition, image analysis and bioinformatics. This research is mainly divided into two parts, the first is the application of K-means clustering to food image cutting; the second is the application of K-means clustering to general numerical data. Both parts are modified to facilitate image.......
Key Word: Image Segmentation;C-Ablation; K-Means Clustering; Extended K-Means Clustering
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