Mathematical Classification and Clustering: From How to What and Why
Although some clustering techniques are well known and widely used, their theoretical foundations are still unclear. We consider an approach, approximation clustering, as a unifying framework for making theoretical foundations to some popular techniques. The questions of interrelation of the models with each other and with some other methods (especially in contingency and spatial data analyses) are also discussed.
KeywordsCluster Technique Inal Variable Conceptual Cluster Spatial Data Analysis Approximation Cluster
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