K-Means Image Segmentation

K-Means Image Segmentation: Read a color image and output a regionally segmented image using clustering-based pixel classification

K-Means Image Segmentation Algorithm Implementation in MATLAB

Implementation of K-means clustering algorithm for image segmentation in MATLAB. The algorithm accepts parameter k as input and partitions n data objects into k clusters, ensuring high similarity within clusters and low similarity between different clusters. Cluster similarity is calculated using centroids (gravitational centers) obtained from the mean values of objects in each cluster.