期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：3
出版社：S.S. Mishra
摘要：Cluster analysis p artitions a dataset into a reasonable number of disjoint groups, where each group contains similar patterns. Due to a high number of spectral channels hyper Remote Sensing are difficult to classify with high accuracy and efficiency. In this paper we propose a new image clustering method MD-AP( Manhattan Distance Based Affinity Propagation) for extract the Land cover Classification with High Accuracy and Less Computation Time for Comparing the convention method s like K-Means Clustering Algorithm
