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Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Ne...
The Houston model jointly considers all three features: documents' content, time of publication relative to other publications, and position of the spreader in the network. -
Noisy Scale
The dataset used in the paper is a synthetic 2D dataset generated from a Gaussian Mixture Model. -
GMM Clustering
The dataset used in the paper is a synthetic 2D dataset generated from a Gaussian Mixture Model. -
DBSCAN-based Nonlinear Equalizer for High-Capacity Optical Communications
The dataset used for the first nonlinear equalizer in optical communications using the traditional Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm... -
Real dataset
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. -
Synthetic Dataset for T-Phenotype Evaluation
A synthetic dataset for evaluating the performance of T-Phenotype. -
Balanced clustering with tree-like structures over clusters
Balanced clustering problems with an additional requirement as a tree-like structure over the obtained balanced clusters. This kind of clustering problems can be useful in some... -
Deep embedded image clustering with transformer and distribution information
Deep embedded image clustering with transformer and distribution information -
Deep spectral clustering using dual autoencoder network
Deep spectral clustering using dual autoencoder network -
Joint unsupervised learning of deep representations and image clusters
Joint unsupervised learning of deep representations and image clusters -
Unsupervised deep embedding for clustering analysis
Unsupervised deep embedding for clustering analysis -
Deep Embedding Clustering Driven by Sample Stability
Deep embedding clustering algorithm driven by sample stability -
UCI datasets
The dataset used in the paper is a set of UCI datasets, including adult, census, covertype, financial, joke, mushroom, and statlog. -
MNIST-full, MNIST-test, USPS, Fashion-Mnist, YTF
The dataset used in the paper is a benchmark dataset for clustering, including MNIST-full, MNIST-test, USPS, Fashion-Mnist, and YTF. -
USPS dataset
The USPS dataset consists of 9298 images of handwritten digits 0-9 (10 classes) of 16x16 pixels in gray scale. -
SELF-LABELLING VIA SIMULTANEOUS CLUSTERING AND REPRESENTATION LEARNING
Combining clustering and representation learning is one of the most promising approaches for unsupervised learning of deep neural networks. -
Real-world dataset
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. -
Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic En...
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. -
Iris dataset
The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples... -
Orthogonalization of data via Gromov-Wasserstein type feedback for clustering...
The dataset is used for clustering and visualization of data by an orthogonalization process.
