EnFormer Deep Ensemble Clustering

Unsupervised clustering of two image sets. Images are encoded with the EnFormer backbone (ImageNet-pretrained) and grouped by an ensemble of base clusterers (K-Means, Fuzzy C-Means, Gaussian-Mixture, Spectral, Agglomerative) fused through a co-association matrix.

Use bundled example dataset

Feature backbone

enformer convnext

Add morphology features

Number of clusters (K)

2 10

Consensus function

spectral average_linkage

Input resolution

224 320

Cluster assignments (CSV)

Clusters (representative images per cluster)

2-D feature embedding

Consensus co-association matrix