61 datasets found

The dataset used in this paper is a finite mixture model with a finite number of k components from a parametric statistical model P.

The dataset used in this paper is a finite mixture model with a finite number of k components from a parametric statistical model P.

Incomplete Cross-Modal Subspace Clustering

Generative Partial Multi-view Clustering With Adaptive Fusion and Cycle Consistency

Cognitive Deep Incomplete Multi-view Clustering Network

Partial multi-view clustering

Multi-view clustering via deep matrix factorization

Incomplete multi-view clustering on incomplete views

Exponential family data

The dataset used in this analysis comes from high-fidelity hydrogen-air detonation simulations in a 2-dimensional channel configuration.

The dataset used in the paper is a series of data points with 21 numbers, and the similarity between data is measured by the difference between numbers.

Hierarchical Dirichlet Process (HDP) mixture model for modeling the hierarchy of groups of data.

The dataset used in the paper is a synthetic control chart time series dataset, which contains control charts synthetically generated by Alcock and Manolopoulos for the six...

The dataset used in this paper for hierarchical density based clustering.

Clustering with noisy oracle: We initiate a rigorous theoretical study of clustering with noisy queries (or a faulty oracle).

Radiology reports dataset is used to test the proposed Hierarchical Latent Word Clustering algorithm.

NIPS dataset is used to test the proposed Hierarchical Latent Word Clustering algorithm.

Hierarchical Latent Word Clustering dataset is used to test the proposed Hierarchical Latent Word Clustering algorithm.

Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization.

The proposed framework is composed of two networks (see Fig 1). The encoder network q with parameters of φ computes qφ(z|x) : xi → zi. The encoder maps an input image xi ∈ X to...