# Tagged Questions

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### K-means convergence to local maxima

I study K-means clustering algorithm. It's known that K-means algorithm converges to the local maximum, the problem is I cannot come up with the examples that shows this. If you know the simple ...
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474 views

### Optimization / personalization within clusters

I have the following optimization problem: I have a (random and very noisy) objective function f(A, P), where A is a vector of "observable" parameters of the input and P is the parameters that I can ...
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### How to find “approximate most common” value from a list of RGB values

I have about 50 equally sized photos of magazine covers, which I'm attempting to blend into one composite image that shows the "average" cover. Each of the covers has a single face on it, so the ...
1answer
51 views

### Unsupervised clustering in $10$ dimensions

I have a set of $\sim1000$ feature vectors in $\sim10$ dimensions and would like to cluster them in an unsupervised manner. I am expecting some of the vectors to bunch together in groups, but quite a ...
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79 views

### Estimating co-occurrence probabilities of pairs of sample points from different clusters

I have a problem as follows: I have a collection of samples which I wish to cluster. The sample points are acquired in "groups/batches", and we know that samples from the same "group" cannot be ...
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189 views

### One cluster Davies–Bouldin Index [closed]

I'm trying to evaluate what is the right number of cluster needed for clusterize some data. I know that this is possible using Davies–Bouldin Index (DBI). To using DBI you have to compute it for any ...
1answer
72 views

### Cluster Analysis Terminology question

Let's say that I have a set of datapoints. Let's say I also have a set of pairs of these points, where a single point can be in multiple pairs. Let's say I also have a set of triples, etc with the ...