leukocyte cell classification by k-mean clustering
This research selects K-means clustering is an iterative technique that is used to partition an image into K clusters. The method of K-means is to pick the set of pixels to k cluster and computing the cluster of centroids by averaging all of the pixels in the cluster. Assigning each pixel in the image depends on the minimum distance between pixel and the centroids cluster. This method will repeat computing step until convergence is attained such as no pixels change clusters.
To consider an objective function of the method, it can rewrite as Equation (1).