Questions tagged [clustering]

Clustering is the problem of finding groups of data points (often modelled as nodes in a graph) that are closer to each other than to other points.

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Analysis and classification based on data points

I'm not sure if this is the correct stack exchange or correct tags, but my question is as follows: I am working on a sort-of ratings system for players in a particular game. After allowing the ...
ctlaltdefeat's user avatar
30 votes
4 answers

What exactly is the difference between supervised and unsupervised learning?

I am trying to understand clustering methods. What I I think I understood: In supervised learning, the categories/labels data is assigned to are known before computation. So, the labels, classes or ...
Prot's user avatar
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6 votes
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How to compare/cluster millions of strings?

I have around 1,000,000 of strings of variable length (from 200 to 50000) that can contain 5 characters (A, B, C, D, E). What I actually want is to cluster them together if they are similar enough. ...
Ivan's user avatar
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2 votes
2 answers

Community detection in weighted directed graphs for fixed number of communities

I have a weighted directed graph $G=(V,E)$ with positive weights. Say these vertices represent cities and the weight $w : V_1 \rightarrow V_2$ represents number of students moving into other cities ...
Sandipan Bhattacharyya's user avatar
1 vote
1 answer

Formulate a 2-clustering problem in LP

The problem: Suppose there are $n$ points in plane, and we want to partition points into two clusters such that sum of diameter of clusters is minimized. The diameter of cluster is maximum distance ...
ErroR's user avatar
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1 vote
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Proof of NP-hardness of the k-means clustering problem for $k\geqslant 3$

coming from the computing science side rather than from the data analysis one, I studied the k-means clustering problem for a short time and noticed that the NP-hardness of the problem for $k=2$ seems ...
Thomas Baruchel's user avatar