What is Cluster Analysis?
found using techniques such as: deterministic annealing and genetic algorithms • Weakness – Applicable only when mean is defined, then what about categorical data? – Need to specify k, the number of clusters, in advance – Unable to handle noisy data and outliers – Not suitable to discover clusters with non-convex shapes
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