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3 votes
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ICA and Gaussianity: A Misleading Example in the Book Konstantinos Koutroumbas, Sergios Theodoridis - Pattern Recognition

The example given in the book Konstantinos Koutroumbas, Sergios Theodoridis - Pattern Recognition (4th Estition): The point in this example is to show the property of the method used: Find a ...
Royi's user avatar
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3 votes

Modern Method for 1D Signal Segmentation

Royi's answer is a good starting point. However, my first thoughts were the problem is more related to Video-scene segmentation (or more generally Time-series segmentation) rather than Image ...
Batta's user avatar
  • 133
2 votes
Accepted

Unsupervised Clustering of Images: Which Algorithms?

Unsupervised clustering of image data is tricky thing and requires adjusting the method to the content of the images set. Assuming we're dealing with the MNIST data set we can do some nice things ...
Royi's user avatar
  • 19.7k
2 votes

ICA and Gaussianity: A Misleading Example in the Book Konstantinos Koutroumbas, Sergios Theodoridis - Pattern Recognition

I don't know the rest of the problem statement, nor the result they arrive at, but consider this: If you add two independent normal random variables, you just get a new normal variable (with its mean ...
Marcus Müller's user avatar
1 vote
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Image Clustering Using Linear Discriminant Analysis (LDA) Compared to t-SNE / UMAP

The Linear Discriminant Analysis (LDA) (Also the Fisher's Linear Discriminant, which the LDA is a generalization of) is a method to find a projection plane to separate data by linear projection Matrix ...
Royi's user avatar
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