Feature-Space Separability
Cross-source consensus on Feature-Space Separability from 1 sources and 4 claims.
1 sources · 4 claims
Comparisons
Evidence quality
Highlighted claims
- PCA projections of composition, k-mer, and GA-selected k-mer features showed no clear class separation. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification
- Clustering failed to recover Parkinson class labels. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification
- K-mer features increased dispersion but did not improve separability. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification
- High Silhouette values from length-based clustering reflected internal structure unrelated to Parkinson labels. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification