The choice of a good clustering algorithm is vital in many tasks to optimize results. Nowadays, the most used algorithms use only one strategy to find and form the clusters of data, which can limit the effectiveness of the process. This paper presents a new approximation to clustering, called Essence-Based Clustering, that combines multiple strategies in a series of steps, allowing two levels of configuration...
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