A Survey on Semi Supervised Clustering Techniques in Image Segmentation

In Recent days Semi Supervised Clustering plays a noteworthy role in image processing which helps the image segmentation to produce the efficient result of an input image. Semi Supervised clustering which is combinational of both labeled and unlabeled data points, typically with the large amount of unlabeled data and a small amount of labeled data. Semi supervised clustering falls between unsupervised (without any labeled training data) and supervised (with completely labeled training data). It means that a small amount of human assistance or prior information is given during clustering process. This paper is focuses on survey of Semi Supervised clustering techniques for image segmentation.