15 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.

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 synthetic control chart time series dataset, which contains control charts synthetically generated by Alcock and Manolopoulos for the six...

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

The dataset used in this paper is a collection of 9600 incomplete data sets, each with 10 variables and 25-200 individuals, with varying levels of missing values.

The MNIST dataset is used to demonstrate the clustering capability of the proposed group-sparse autoencoder.

Deep embeddings answer one simple question: How similar are two images? Learning these embeddings is the bedrock of verification, zero-shot learning, and visual search.

The shuttle dataset is used for anomaly clustering and visualization. It contains 9 numerical attributes and 7 classes.

The dataset used in the paper is a real dataset containing 122 time series representing the evolution, during a mission, of the altitude of a helicopter.

A synthetic dataset for evaluating the performance of T-Phenotype.

The USPS dataset consists of 9298 images of handwritten digits 0-9 (10 classes) of 16x16 pixels in gray scale.

The dataset used in this paper for testing the 3D-RecGAN++ model. It contains 1.5k SV and 2.5k CV testing datasets for each of the 6 categories.

The dataset is a complex multi-source acoustic environment and an improved algorithm for the estimation of source-dominated microphone clusters in acoustic sensor networks.

The dataset comprises of phone call records of a marketing campaign run by a Portuguese bank. The marital status of the clients is considered feature to ensure fairness.