Commit bb947a62 authored by Alexis Veracruz's avatar Alexis Veracruz

Update README.md

parent 3530255c
......@@ -56,26 +56,23 @@ Same dimensions as the raw data. Gives a coloring to the EEG data, that shows ho
1. Extract (𝜶, 𝛽, 𝛾,𝜃) Waveform
2. Divide into 2s epochs
3. Features extraction using neural netork
4. FFT: static
5. Short-Time FFT: FFR with window
3. Compute static features for each epoch
4. Channel coherence (each wave)
5. Channel correlation Pearson (each wave)
6. Embedding a lower dimensional manifold
7. Reduce dimensionality
8. Reduce component analysis
9. Localized linear embedding (tSNE)
10. Wavelet
11. Analyse distances in reduced space between 2013 & 2014 baselines
a. FFT: static
b. Short-Time FFT: FFR with window
c. Compute static features for each epoch
d. Channel coherence (each wave)
e. Channel correlation Pearson (each wave)
4. Embedding a lower dimensional manifold
a. PCA
b. LDA
c. Localized linear embedding (tSNE)
5. Analyse distances in reduced space between 2013 & 2014 baselines
### Clustering
* Aggloremative
* k-means
* NNMF (Non Negative Matrix Factorization)
#### Measures
* Dynamics Time warping (Distance Meausure)
## Results
......
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