72 datasets found

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...

Clickstream data is one of the various emerging data types that demands particular attention because there is a notable paucity of statistical learning approaches currently...

Object Cluster Hierarchy (OCH) is a novel variant of Hierarchical Clustering that increasingly gains more interest in the field of Machine Learning.

The dataset is used for clustering simulation output distributions using the regularized Wasserstein distance.

The Image Segmentation dataset is used to evaluate the performance of the ensemble average rule.

The dataset used in this paper for Dominant Set Clustering.

The dataset used in this paper for Dominant Set Clustering.

The dataset used in this paper for Dominant Set Clustering.

The dataset used in this paper for Dominant Set Clustering.

Scene-15 is a dataset of indoor and outdoor environment images, which consists of 4485 images in total and is divided into 15 categories. It is described by 3 features.