1
vote
0answers
18 views

Machine learning algorithm for relative similarity

I'm trying to find a good starting place (or existing algorithm) to determine the similarity of various items to one another based on subjective assessments of two items' relative similarity to a ...
1
vote
0answers
51 views

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 ...
6
votes
0answers
526 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 ...
0
votes
0answers
60 views

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 ...
3
votes
1answer
58 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 ...
1
vote
1answer
75 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 ...