MODIFIED Х-MEANS CLUSTERING METHODS IN IMAGE SEGMENTATION PROBLEMS
Abstract
The modified matrix Х-means clustering method to solve the image segmentation problem in very large databases (VLDB) are proposed. A special feature of this approach is the ability to process matrix signals in the absence of information on the signals statistical characteristics, as well as the number of clusters is automatically determined during the original data set analysis.