Home News Latest Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Image Clustering On Usps

Metrics

Accuracy

NMI

Results

Performance results of various models on this benchmark

Model Name	Accuracy	NMI	Paper Title	Repository
DTI-Clustering	0.864	0.882	Deep Transformation-Invariant Clustering	-
DEN	0.979	0.944	Interpretable Visualizations with Differentiating Embedding Networks	-
ClusterGAN	0.970	0.931	Balanced Self-Paced Learning for Generative Adversarial Clustering Network	-
AGDL	-	0.824	Graph Degree Linkage: Agglomerative Clustering on a Directed Graph	-
DMSC	0.951	0.929	Deep Multimodal Subspace Clustering Networks	-
DBC	0.743	0.724	Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders	-
PSSC	0.957	0.898	Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement	-
JULE-RC	-	0.913	Joint Unsupervised Learning of Deep Representations and Image Clusters	-
SPC	0.984	0.954	Selective Pseudo-label Clustering	-
DDC-DA	0.977	0.939	Deep Density-based Image Clustering	-
DDC	0.967	0.918	Deep Density-based Image Clustering	-
SR-K-means	0.974	0.936	Deep clustering: On the link between discriminative models and K-means	-
DynAE	0.981	0.948	Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction	-
N2D (UMAP)	0.958	0.901	N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding	-
Tree-SNE	-	0.885	Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE	-
DnC-SC	0.8255	0.8286	-	-

0 of 16 row(s) selected.

Image Clustering On Usps | SOTA | HyperAI