Difference between revisions of "T-Distributed Stochastic Neighbor Embedding (t-SNE)"
| Line 9: | Line 9: | ||
* [[Principal Component Analysis (PCA)]] | * [[Principal Component Analysis (PCA)]] | ||
| − | * [[Local Linear Embedding (LLE)]] | + | * [[Embedding]] |
| + | ** [[Local Linear Embedding (LLE)]] | ||
* [[Dimensional Reduction]] Algorithms | * [[Dimensional Reduction]] Algorithms | ||
* [[Softmax]] | * [[Softmax]] | ||
Revision as of 09:07, 5 April 2020
Youtube search... ...Google search
- Principal Component Analysis (PCA)
- Embedding
- Dimensional Reduction Algorithms
- Softmax
- Pooling / Sub-sampling: Max, Mean
- (Deep) Convolutional Neural Network (DCNN/CNN)
- Seven Techniques for Dimensionality Reduction | KNIME
- Principal Component Analysis (PCA) ...linear
- Embedding Projector
