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Questions tagged [spectral-clustering]

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How to organize multi-layer data in Orange Data Mining?

I have data in the form of a MATLAB cell array in which: Rows are individual ROIs columns are image channels But each element of each column stores not only the mean intensity value of the ROI, but ...
DopeOmics's user avatar
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Generation of spectrum from features

In the field of chemical analysis, prediction of features, properties, is often done from spectra base on simple neuralnetwork and some AI models. But conversely, what methods are implemented to ...
tomtels's user avatar
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Best value of K when using K-Nearest Neighbors with Spectral Clustering

I'm using scikit-learn's SpectralClustering class, which has the option of building its affinity matrix using a K-Nearest Neighbors algorithm. Is there any way to ...
Hippopotoman's user avatar
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deal with diarization problem for very long sequences -using msdd and spectral clustering

my name is Gal. I'm a novice data scientist, currently grappling with the challenge of diarizing exceptionally long audio sequences. My trials with Nemo MSDD on a 1.5-hour audio file resulted in ...
גל אורן's user avatar
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What's the fastest clustering package in Python?

I'd like to perform clustering analysis on a dataset with 1,300 columns and 500,000 rows. I've seen that clustering algorithms are available in SciKit-Learn. But I'm worried that the algorithms will ...
Connor's user avatar
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MEL VS linear spectrograms for bioacoustics machine learning

I don't have background in bioacoustics but working on a data-science project in bioacoustics. I am working with animal vocalizations recorded at sampling rate of 250000. Animals are bats, which are ...
user305883's user avatar
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best algorithms for clustering customers, customer segmentation

I have a dataset mixture of categorical and numerical variable, I was wonder what are the best algorithms to cluster customers? how to find the underlying patterns that segments a customer??
F.Hazratian's user avatar
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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 ...
Oliver's user avatar
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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 ...
Amartya's user avatar
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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 ...
Ayan Mitra's user avatar
2 votes
1 answer

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 ...
Gabriel Fair's user avatar
1 vote
1 answer

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. ...
Reut's user avatar
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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 ...
Munira's user avatar
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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 ...
strateeg32's user avatar
12 votes
1 answer

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 ...
Kuba_'s user avatar
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