- Towards k-means-friendly spaces: Simultaneous deep learning and clustering
- Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
- Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering（高斯聚合&VAE）
- Deep Clustering Based on a Mixture of Autoencoders
- 评价指标
- normalized mutual information (NMI)
- adjusted Rand index (ARI)
- clustering accuracy (ACC)
- 常用聚类方式
- K-means (KM)
- Spectral Clustering (SC)(https://www.cnblogs.com/pinard/p/6221564.html)
- Sparse Subspace Clustering with Orthogonal Matching Pursuit (SSC-OMP)：当前图像聚类中最好方法
- Locally Consistent Concept Factorization (LCCF)：当前文档聚类中最好方法
- XRAY
- NMF followed by K-means (NMF+KM)
- Stacked Autoencoder followed by K-means
(SAE+KM) - Joint NMF and K-means (JNKM)
- Deep Embedded Clustering (DEC)
网友评论