Clustering performance based on Davies Bouldin, average within centroid distance and sum of squares for k = 2 to 15 based on Euclidean distance, correlation similarity, cosine similarity and dice similarity.
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https://figshare.com/articles/dataset/Clustering_performance_based_on_Davies_Bouldin_average_within_centroid_distance_and_sum_of_squares_for_i_k_2_to_15_i_based_on_Euclidean_distance_correlation_similarity_cosine_similarity_and_dice_similarity_/15093682
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Clustering performance based on Davies Bouldin, average within centroid distance and sum of squares for k = 2 to 15 based on Euclidean distance, correlation similarity, cosine similarity and dice similarity.
创建时间：
2021-08-02
