sarsbug / DCN_keras
Keras Implementation of "Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering"
☆11Updated 5 years ago
Alternatives and similar repositories for DCN_keras:
Users that are interested in DCN_keras are comparing it to the libraries listed below
- ☆55Updated 5 years ago
- Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection☆16Updated 4 years ago
- This is a Pytorch implementation of "Deep Low-Rank Subspace Clustering" (CVPRW 2020).☆14Updated 4 years ago
- Unsupervised Deep Learning for Temporal Multi-Omics☆24Updated 6 years ago
- My PyTorch implementation of Deep SVDD for Anomaly Detection☆30Updated 4 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆19Updated 5 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆10Updated 6 years ago
- Implementation of "Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization", IEEE Transactions on Fuzzy Systems.☆34Updated 3 years ago
- ☆9Updated 7 years ago
- Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆27Updated 4 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 4 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆14Updated 3 years ago
- 现有聚类算法面向高维稀疏数据多未考虑类簇可重叠和离群点的存在,导致聚类效果不理想。针对此,提出一种可重叠子空间K-Means聚类算法(An Overlapping Subspace K-Means Clustering Algorithm, OS-K-Means)。给出类簇…☆30Updated 5 years ago
- Deep Subspace Clustering + GAN☆23Updated 7 years ago
- Codebase for "SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation"☆16Updated 3 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆102Updated 6 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 4 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆34Updated 4 years ago
- AnomalyDAE (ICASSP2020)☆50Updated 4 years ago
- Partial Multi View Clustering via NMF☆34Updated 6 years ago
- ClusterGAN PyTorch implementation☆11Updated 5 years ago
- ☆22Updated 5 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 4 years ago
- Convex Nonnegative Matrix Factorization with Adaptive Graph for Unsupervised Feature Selection☆16Updated 2 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 5 years ago
- Code release for "Multi-Level Representation Learning for Deep Subspace Clustering" (WACV 2020)☆10Updated 5 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆66Updated last year
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- Multi-view Clustering in Latent Embedding Space, AAAI2020☆25Updated 5 years ago