TY - CHAP A1 - Xingping Wen A2 - Xiaofeng Yang ED1 - Adem Karahoca Y1 - 2012-09-12 PY - 2012 T1 - An Unsupervised Classification Method for Hyperspectral Remote Sensing Image Based on Spectral Data Mining N2 - Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications. BT - Advances in Data Mining Knowledge Discovery and Applications SP - Ch. 6 UR - https://doi.org/10.5772/50135 DO - 10.5772/50135 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-01-19 ER -