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Image Clustering On Mnist Full

Metrics

Accuracy

NMI

Results

Performance results of various models on this benchmark

Model Name	Accuracy	NMI	Paper Title	Repository
VMM	0.967	0.920	The VampPrior Mixture Model	-
Tree-SNE	-	0.864	Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE
DEN	0.984	0.956	Interpretable Visualizations with Differentiating Embedding Networks
SR-K-means	-	0.913	Deep clustering: On the link between discriminative models and K-means
DBC	0.976	0.937	Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
DDC-DA	0.986	0.961	Deep Density-based Image Clustering
PSSC	0.964	0.921	Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement
SPC	0.992	0.975	Selective Pseudo-label Clustering
N2D (UMAP)	0.987	0.964	N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
JULE-RC	0.964	0.917	Joint Unsupervised Learning of Deep Representations and Image Clusters
DTI-Clustering	0.979	0.942	Deep Transformation-Invariant Clustering
DynAE	0.987	0.964	Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction
ClusterGAN	0.973	0.940	Balanced Self-Paced Learning for Generative Adversarial Clustering Network	-
ADEC	0.990	0.971	Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift	-
GDL	0.965	0.913	Graph Degree Linkage: Agglomerative Clustering on a Directed Graph
EnSC	0.969	0.941	Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

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