Standard cluster algorithms learn without supervision (unsupervised learning), this approach allows users to impose the method of clustering concerning the preferred topic. The described method consists of the following stages: introduction of preferred topic, tagging the data based on topic and semantic relationships, using optimizing hierarchical clustering algorithm which uses the criterion function to determine the best partition method.
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