Questions tagged [spectral-clustering]

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Why kmeans cluster breakup is like this [closed]

I have a galaxy spectrum data set (total 22000). Similar to an electronic wave data, two dimensional (Flux vs Wavelength). A typical set of wavelength plot looks like below Now I am doing kmeans on ...
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Ways of calculating the area of colored regions in a map

Background I am a PHD student trying to improve my data science. One of my research projects, has me tasked with determining the size of the clusters in a colored image of regions. Here is an example ...
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20 views

Clusterize Spectrum

I have pandas table which contains data about different observations, each one was measured in different wavlength. These observsations are different than each other in the treatment they have gotten. ...
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Which version of spectral clustering in sklearn library?

Which version of spectral clustering is implemented in sklearn library? Is it Shi, Malik or Ng, Jordan, Weiss from this tutorial? In sklearn user guide, both versions are mentioned in reference. From ...
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29 views

How to use spectral clustering to predict?

In an academic paper, they talk about using a nearest neighbour algorithm to predict the cluster of a new point. And how the number of nearest neighbours is set to 10 in their example. What do they ...
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Laplacian Matrix Has Negative Eigenvalues

I am trying to implement a simple version of spectral clustering using the normalized (random walk) Laplacian matrix in Python. After testing my function with a toy dataset, I found that my Laplacian ...
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131 views

What are practical differences between kernel k-means and spectral clustering?

I've been lately wondering about kernel k-means and spectral clustering algorithms and their differences. I know that spectral clustering is a more broad term and different settings can affect the ...