Scalable Distributed Approximation of Internal Measures for Clustering Evaluation

3 Mar 2020Federico AltieriAndrea PietracaprinaGeppino PucciFabio Vandin

The most widely used internal measure for clustering evaluation is the silhouette coefficient, whose naive computation requires a quadratic number of distance calculations, which is clearly unfeasible for massive datasets. Surprisingly, there are no known general methods to efficiently approximate the silhouette coefficient of a clustering with rigorously provable high accuracy... (read more)

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