Difference between revisions of "T-Distributed Stochastic Neighbor Embedding (t-SNE)"
| Line 14: | Line 14: | ||
* [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | * [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | ||
* [http://files.knime.com/sites/default/files/inline-images/knime_seventechniquesdatadimreduction.pdf Seven Techniques for Dimensionality Reduction | KNIME] | * [http://files.knime.com/sites/default/files/inline-images/knime_seventechniquesdatadimreduction.pdf Seven Techniques for Dimensionality Reduction | KNIME] | ||
| − | * [[Principal Component Analysis (PCA)]] ...linear | + | * [[Principal Component Analysis (PCA)]] ...linear |
* [http://projector.tensorflow.org/ Embedding Projector] | * [http://projector.tensorflow.org/ Embedding Projector] | ||
Revision as of 20:58, 4 November 2019
Youtube search... ...Google search
- Principal Component Analysis (PCA)
- 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
