Machine Learning, Temporal Data, Signal Processing, Exploratory Data Analysis, Neural Networks.
preserving the neighborhood structure of the data. Data that is close in embedding space remains close, and the far remains far. After a few TSNE dimensionality reduction techniques, we can observe that all other classes are fairly separable instead of ‘standing’ and ‘sitting’ classes, because of