Table 1 Comparison of the clustering results for the Golub dataset
From: Clustering gene expression data using a diffraction‐inspired framework
Algorithm | AEC | AVI | ACC (%) |
|---|---|---|---|
Diffractive clustering | 87.5 | 73.5 | 94.4 |
k‐means | 76.1 | 62.6 | 88.9 |
Fuzzy c‐means | 76.1 | 57.3 | 88.9 |
Hierarchical clustering (single) | 59.3 | 63.7 | 63.9 |
Hierarchical clustering (centroid) | 53.4 | 99.7 | 61.1 |
Self‐organising map | 60.5 | 12.6 | 65.3 |
Gaussian Mixture Model | 76.1 | 60.6 | 88.9 |
DBSCAN | 53.1 | 75.7 | 68.1 |