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:
- Latent space clustering in Generative Adversarial Network (GAN)☆106Updated 3 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
- Keras version of the MMD-Variational-Autoencoder☆10Updated 6 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆125Updated 5 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
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆70Updated 5 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
- Self-Adaptive Multi-Prototype-based Competitive Learning☆15Updated 6 years ago
- GAAL-based Outlier Detection☆134Updated 2 years ago
- This is a Pytorch implementation of "Deep Low-Rank Subspace Clustering" (CVPRW 2020).☆14Updated 5 years ago
- DAGMM Tensorflow implementation☆180Updated 2 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Updated 6 years ago
- ☆57Updated 5 years ago
- Deep Subspace Clustering + GAN☆23Updated 7 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆39Updated 3 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 7 years ago
- Reimplementation of paper "Variational Graph Auto-Encoders", adapted from https://github.com/limaosen0/Variational-Graph-Auto-Encoders/, …☆12Updated 5 years ago
- Unsupervised Deep Learning for Temporal Multi-Omics☆26Updated 6 years ago
- AnomalyDAE (ICASSP2020)☆52Updated 5 years ago
- [TFS 2020] Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization☆34Updated 3 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 4 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆35Updated 4 years ago
- My PyTorch implementation of Deep SVDD for Anomaly Detection☆30Updated 5 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆105Updated 6 years ago
- ☆197Updated 3 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆133Updated 2 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 5 years ago
- Codebase for "SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation"☆16Updated 3 years ago
- Stacked Denoising AutoEncoder☆79Updated 5 years ago
- Clustering using Deep Learning (T-SNE visualization of autoencoder embeddings )☆10Updated 6 years ago