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Questions tagged [clustering]

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Clustering with points lying along different 3D planes

I have a bunch of data points in 3D that lie along a few planes. What would be the best approaches to estimate the normals of these planes? Edit: There are roughly equal number of points lying along ...
2
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0answers
278 views

Connectivity and Clustering using Eigenvectors and the Fiedler Vector

Going off of the answer here: sorting adjacency matrix by the Fiedler vector So here, Jesse the answerer plotted the first 3 eigenvectors associated with non-zero eigenvalues of the Laplacian against ...
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0answers
121 views

Clustering similar words and mapping to numbers in Python

I'm familiar with kmeans to cluster data points, but not text.. So I have one column of words in cvs format, which I want to cluster those which have similar word or more, and then mapping those ...
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0answers
18 views

Find all recurring subgraphs/patterns of maximal size in a single undirected, labeled, connected graph

I would like to identify all subgraphs of maximal size (maximum number of nodes) that are recurrent in a single undirected, labeled, connected graph. I provide exemples of input and expected output ...
1
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0answers
44 views

What is a performant clustering algorithm for approx 10,000 vectors of approx 30 dimension?

I have a set of real-valed vectors, for example $S = \{v_1, v_2, ..., v_k\}$ $v_i = \begin{pmatrix} age_i \\ height_i \\ weight_i \\ ... \end{pmatrix}$ or whatever. Each vector has on the order of ...
1
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0answers
117 views

Computing only the $k$ biggest eigenvalues and eigenvectors with Scalapack

Given that there are eigensolvers in Scalapack that use a divide and conquer method, is there any way we can use Scalapack functions to only compute the first $k$ dominant eigenvalues and ...
1
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0answers
28 views

Clustering by shared subsequence

I have a question that relates to the classical "longest common subsequence" problem. I'll give the background to the problem, but you could skip to the formulation below if you like Let's think of ...
1
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0answers
59 views

Clustering state-space models according to similarity

I have a plant that can be modeled with nonlinear equations as $$f(x,u,p)=0$$ where $x$ is the state vector, $u$ the control vector, and $p$ the model parameters. In order to control this system, I ...
0
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0answers
38 views

Spectral Clustering by Andrew Ng paper: theorem proof question

I recently read the paper "On Spectral Clustering: Analysis and an Algorithm" by Ng et al. Much of the paper centers on Theorem 2 and equation 8. To me, it appears there is no given or referenced ...