Clustering is a method to arrange data points into groups or clusters based on a predefined similarity criterion. Classification maps the data points or their representative features into predefined classes to help the interpretation of the input data. There are several methods available for clustering and classification for computeraided diagnostic or decision making systems for medical applications. This chapter reviews some of the clustering and classification methods using deterministic as well as fuzzy approaches for data analysis.
|Original language||English (US)|
|Title of host publication||Principles and Advanced Methods in Medical Imaging and Image Analysis|
|Publisher||World Scientific Publishing Co.|
|Number of pages||38|
|State||Published - Jan 1 2008|
All Science Journal Classification (ASJC) codes