1
vote
0answers
21 views

Setting up feature vectors

I am working on a classification project and I want to use SVM's and/or Clustering Algs. What I am having trouble with is deciding how to set up my feature vectors. I have already decided what my ...
3
votes
2answers
81 views

Feature / attribute selection for k-means or other clustering

It seems to me that in literature it is assumed that one knows which features / attributes to choose to characterize an item in clustering. If I have a database with items which have many attributes, ...
0
votes
0answers
123 views

Clustering communication patterns to detect multiple identities

I have a data set of communication patterns between chatting agents. Each agent can have multiple profiles or identities. I am interested in developing a way to investigate the similarity between ...
0
votes
0answers
31 views

Methods for temporal patterns extraction

For example a video or series of images, or usage patterns data on a website, or a univariate time series, is there some flexible methods for extracting patterns of any length, such as head ...
4
votes
0answers
72 views

Which variables are driving correlations within groups

I'm running an analysis on a few data sets that each typically have 100-200 cases measured across 120-160 variables - something similar to looking at gene expressions. Each variable is a non-centered ...
4
votes
1answer
361 views

Select best set of binary variables for clustering known sample labels

I have a set of samples, for which I know the "true groups". For this samples I have about 200 binary variables, I would like to know a method to select the subset of variables, that gives me a ...
1
vote
2answers
126 views

Sparse hyperspace clustering

I have a dataset of M elements where every item is represented by a feature vector of length N where N is very large and only a small subset of N is bigger then zero for every item. So I have a sparse ...
3
votes
3answers
996 views

How to reduce the number of variables in cluster analysis?

I've got 10 (yes, only 10) cases over 1000 variables (e.g. measurements of concentrations of 1000 different compounds at 10 different time points). I can group these cases into 3 clusters in ...
1
vote
2answers
385 views

Clustering time series with wavelets in R

Can discrete wavelet trasform be used for feature extraction from time series in order to cluster them? Any R code how to do this will be appreciated.
3
votes
2answers
256 views

Feature selection for disease classification based on tests

I have a dataset of around 100 different subjects Some of them have a disease, some do not (roughly 60:40 disease:no disease) They are subjected to a battery of 15 tests, to see if they are outside ...
2
votes
4answers
2k views

How to convert nominal dataset into numerical dataset?

For my work, im using the multilabel dataset from this webpage. Few dataset which are listed in the page (for, e.g bibtex) have nominal attributes, i.e attribute values are 0 and 1. My queries are ...
0
votes
0answers
79 views

How to organize a series of data analysis results?

For several days, I collected a series of data analysis results for given data with different statistical methods, different sample size, different other analysis parameters, and so on. So right now, ...
6
votes
1answer
815 views

Clustering probability distributions - methods & metrics?

I have some data points, each containing 5 vectors of agglomerated discrete results, each vector's results generated by a different distribution, (the specific kind of which I am not sure, my best ...
2
votes
0answers
111 views

New development in variable selection in clustering using MCMC?

The latest general framework I know in MCMC-based wrapper method(doing variable selection and clustering simultaneously) are the paper "Bayesian variable selection in clustering high-dimensional data" ...
3
votes
1answer
470 views

How can I assess how descriptive feature vectors are?

I am assessing how good different features are for unsupervised classification of a set of objects. For each different feature I test, I have computed a feature vector that describes the object. I ...