Identification of Inundation Hazard Zones in Manas Basin, China, Using Hydrodynamic Modeling and Remote Sensing

Abstract

What is Cluster Analysis? Cluster analysis is a statistical technique used to group cases (individuals or objects) into homogeneous sub‐groups based on responses to variables. Using PASW (SPSS) 17.0 to conduct a cluster analysis, there are three clustering procedures: two‐step, k‐means, and hierarchical. K‐means clustering allows you to select the number of clusters and the procedure can be used with moderate to large datasets. The k‐means clustering algorithm assigns cases to clusters based on the smallest amount of distance between the cluster mean and case. This is an iterative process that stops once the cluster means do not change much in successive steps.