6 votes
Accepted

How to Cluster Image Colors Using K Means Clustering in CIE a*b Domain?

You should use makecform to create a color transfer structure. You should use srgb2lab to create a structure which will convert ...
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6 votes
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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 ...
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5 votes
Accepted

Modern Method for 1D Signal Segmentation

This is an interesting question. For answering it I will assume a time sampled signal. The way I see it, it something like Image Segmentation where indeed we have many methods which require little or ...
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5 votes
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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 ...
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4 votes
Accepted

Classifying 2 Classes of Ultrasound Signal Using Machine Learning by Frequency Domain

One simple way is to create a feature set based on the energy on the different frequency bins. If the case above is representative, even "small guns" (Linear classifiers) will solve this. ...
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4 votes
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What Is Meant by Clustering of ICA (Independent Component Analysis) Components?

Since ICA is a generalization of PCA (Principal Component Analysis) one could use it for intuition about the process. In PCA we create a new coordinate system where we can represent each data sample. ...
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1 vote

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 ...
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