sarsbug / DCN_kerasLinks
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
Sorting:
- My PyTorch implementation of Deep SVDD for Anomaly Detection☆32Updated 5 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 5 years ago
- Keras version of the MMD-Variational-Autoencoder☆10Updated 6 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 6 years ago
- Self-Adaptive Multi-Prototype-based Competitive Learning☆14Updated 6 years ago
- This is a Pytorch implementation of "Deep Low-Rank Subspace Clustering" (CVPRW 2020).☆14Updated 5 years ago
- Dynamic Graph-Based Label Propagation for Density Peaks Clustering☆44Updated 2 years ago
- Deep Subspace Clustering + GAN☆23Updated 7 years ago
- [TFS 2020] Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization☆35Updated 3 years ago
- Shared Nearest Neighbor-based Clustering by Fast Search and Find of Density Peaks☆55Updated 5 years ago
- ☆57Updated 5 years ago
- Codebase for "SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation"☆16Updated 3 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆127Updated 5 years ago
- Reimplementation of paper "Variational Graph Auto-Encoders", adapted from https://github.com/limaosen0/Variational-Graph-Auto-Encoders/, …☆12Updated 5 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆259Updated 7 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 4 years ago
- Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆29Updated 5 years ago
- Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection☆18Updated 5 years ago
- Partial Multi View Clustering via NMF☆34Updated 7 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆64Updated 5 years ago
- DAGMM Tensorflow implementation☆180Updated 2 years ago
- Multiple Kernel Clustering with Neighbor Kernel Subspace Segmentation☆19Updated 5 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 5 years ago
- ☆98Updated 6 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 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 6 years ago
- Deep Clustering Learning☆12Updated 6 years ago
- ☆44Updated 7 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆36Updated 4 years ago
- Stacked Denoising AutoEncoder☆80Updated 6 years ago