Clustering gene expression data using a diffraction‐inspired framework

Table 2 Comparison of the clustering results for the MILEs dataset

Algorithm	AEC	AVI	ACC (%)
Diffractive clustering	66.6	179.0	73.1
k‐means	59.1	152.6	61.6
Fuzzy c‐means	62.9	171.4	71.4
Hierarchical clustering (single)	47.7	64.2	47.1
Hierarchical clustering (centroid)	56.4	155.2	60.9
Self‐organising map	46.1	10.6	47.1
Gaussian Mixture Model	58.6	96.4	61.2
DBSCAN	52.2	122.3	57.6

The diffractive clustering algorithm outperforms the other clustering algorithms in terms of accuracy, with the hierarchical clustering algorithm performing better when there is centroid linkage.

ISSN: 1475-925X