Clustering performance across increasing numbers of PCA components for A1. To assess whether additional components improved separability, PCA was extended up to eight components beyond the commonly used first two or three. Clustering performance was evaluated using Adjusted Rand Index (ARI), Normalized Mutual Information (NMI), and V-measure.
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https://figshare.com/articles/dataset/Clustering_performance_across_increasing_numbers_of_PCA_components_for_A1_To_assess_whether_additional_components_improved_separability_PCA_was_extended_up_to_eight_components_beyond_the_commonly_used_first_two_or_three_Clustering_performan/30220637
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Clustering performance across increasing numbers of PCA components for A1. To assess whether additional components improved separability, PCA was extended up to eight components beyond the commonly used first two or three. Clustering performance was evaluated using Adjusted Rand Index (ARI), Normalized Mutual Information (NMI), and V-measure.
创建时间：
2025-09-26
