# Questions tagged [spectral-clustering]

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### What clustering algorithm is best for dataset with only binary categorical features

I have a dataset with a lot of binary categorical features and a single continuous target value. I would like to cluster them but I am not quite sure what to use? I have in the past used dbscan for ...
• 123
1 vote
52 views

### What are the benefits of using spectral k-means over simple k-means?

I have understood why k-means can get stuck in local minima. Now, I am curious to know how the spectral k-means helps to avoid this local minima problem. According to this paper A tutorial on ...
• 133
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### kMeans on graph Laplacian to cluster nodes based on their distance

I have a connected weighted graph and I want to use kMeans to cluster the points based on their distance (smaller distances indicate that the nodes are more likely to be in the same cluster). I ...
1 vote
44 views

### 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 ...
• 129
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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 ...
• 257
1 vote
22 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. ...
• 349
1 vote
18 views

### 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 ...
• 147
1 vote
435 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 ...
• 111