Quantitative cluster evaluation metrics on t-SNE feature embeddings for different models. Higher Silhouette and Calinski–Harabasz scores indicate better class separation, while lower Davies–Bouldin values denote tighter intra-class clustering.
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Quantitative cluster evaluation metrics on t-SNE feature embeddings for different models. Higher Silhouette and Calinski–Harabasz scores indicate better class separation, while lower Davies–Bouldin values denote tighter intra-class clustering.
创建时间：
2025-11-07
