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Dominant Set Clustering
The dataset used in this paper for Dominant Set Clustering. -
Breast Cancer Dataset
Breast cancer dataset where mammograms have been labeled independently by three doctors. Ground-truth has been obtained through a biopsy, not available to the algorithm nor the... -
YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks Wi...
A yuru-chara is a mascot character created by local governments and companies for publicizing information on areas and products. Because it takes various costs to create a... -
DBSCAN Dataset
The dataset is used to evaluate the performance of clustering algorithms. -
k-meansNet: When k-means Meets Differentiable Programming
The proposed k-meansNet is used for clustering and has explicit interpretability in structure. -
Kennedy Space Center
A hyperspectral image dataset with 4 classes, captured over the Kennedy Space Center, FL, by the NASA AVIRIS instrument. -
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. -
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. -
Clustering driven deep autoencoder for video anomaly detection
Clustering driven deep autoencoder for video anomaly detection. -
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. -
UCR Time Series Archive
UCR Time Series Archive is a collection of time series datasets from various domains. It is used for training and testing deep neural networks for time series classification tasks. -
Motion capture data
Motion capture data from the CMU Motion Capture database. -
Autoencoder-based time series clustering with energy applications
Time series clustering dataset
