37 datasets found

Optimal implementation and monitoring of wind energy generation hinge on reliable power modeling that is vital for understanding turbine control, farm operational optimization,...

Federated cINN Clustering Algorithm (FCCA) uses MNIST, FMNIST, Cifar10, Cifar100 and Synthetic datasets for experiments.

Frequency response data of 30 VCM plants, clustered using k-medoids and Gaussian Mixture Models

The dataset used in the paper is a collection of Unicode characters, with a focus on identifying homoglyphs and clustering them into equivalence classes.

Graph neural networks (GNNs) are a powerful family of models that operate over graph-structured data and have achieved state-of-the-art performance on node and graph...

We present a technique for clustering categorical data by generating many dissimilarity matrices and averaging over them.

The dataset is used to test the weight-balanced k-means algorithm for weighted point sets and prescribed lower and upper bounds on the cluster sizes.

Exponential family data

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.

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 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.