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1. 1. Clusters (k) Identification without Triangle Inequality : A newly modelled theory

   University essay from Institutionen för informatik och media

   Author : Naga Sambu Reddy Narreddy; Tuğrul Durgun; [2012]
   Keywords : K-means clustering; modifying K-means clustering; nearest neighbor clustering; general clustering procedure; Kolmogorov Simonov-test; parameters descriptions;

   Abstract : Cluster analysis characterizes data that are similar enough and useful into meaningful groups (clusters).For example, cluster analysis can be applicable to find group of genes and proteins that are similar, to retrieve information from World Wide Web, and to identify locations that are prone to earthquakes. READ MORE