[R] mclust for time series
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Mon Nov 3 17:06:27 CET 2014
On Mon, 3 Nov 2014 13:51:52 +0100 atesh koul <atesh.koul at gmail.com> wrote:
> Hi all,
> I am new to using model based clustering. I am using the clustering to find
> how many clusters could be there in the data and the assignment of trials
> to these clusters.
> The data are hand kinematics data- 12 variables at 10 discrete time points
> for 17 subjects. I have previously seen use of mclust for time series.
> However, I am not sure how it would be applied in terms of the formula. I
> have seen couple of papers that use it from a theoretical point of view
> (but not as a command in R). I would like to know if mclust can be used for
> multivariate time series data.
> I would really appreciate any help with this.
I am not sure how useful it will be to cluster 17 12-variate observations (subjects) using (presumably) Gaussian model-based clustering, but you may look at the following paper:
Chen, W.-C. and Maitra, R. (2011). Model-Based Clustering of Regression Time Series Data via APECM
– An AECM Algorithm Sung to An Even Faster Beat. Statistical Analysis and Data Mining, 4:567-78. DOI
There is R code available (not R package), but again, it is not clear to me how useful this is going to be unless there is a structure in the 12 variables you are willing to give in (of course, unless I have misunderstood the context of your question).
> Thanks in anticipation,
> [[alternative HTML version deleted]]
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