Uncertainty-Based Spatial Data Clustering Algorithms for Image Segmentation

摘要: Data clustering has been an integral and important part of data mining . It wide applications in database anonymization, decision making, image processing pattern recognition, medical diagnosis, geographical information systems, only to name a few. real-life scenario are having imprecision inherent them. So, early crisp techniques very less efficient. Several imprecision-based models have proposed over the years. Of late, it established that hybrid obtained as combination these imprecise far more efficient than individual ones. algorithms put forth using models. is also found conventional fuzzy fail incorporating spatial information. This chapter focuses on discussing some developed so their mainly area segmentation.