Hello,
Although there is no R package available (we did not think of it), if you want
a Gaussian-mixture=model-based approach, you may look at the paper:
"Model-Based Clustering of Regression Time Series Data via APECM—An AECM
Algorithm Sung to an Even Faster Beat" by Wei-Chen Chen and Ranjan
You can also try kml3d. You can either use some default distances or define
your own.
http://www.jstatsoft.org/v65/i04/paper
Christophe
--
View this message in context:
http://r.789695.n4.nabble.com/TSclust-multivariate-time-series-clustering-tp4711517p4711555.html
Sent from the R help mailin
I suggest you look at this paper:
http://www.jstatsoft.org/v62/i01/paper
-Roy
> On Aug 26, 2015, at 1:02 AM, GloriaSolano
> wrote:
>
> Hello,
>
> I am trying to cluster multivariate time series with the R package TSclust.
> I have a dataset of 45 companies with 10 years information on 6 vari
Hello,
I am trying to cluster multivariate time series with the R package TSclust.
I have a dataset of 45 companies with 10 years information on 6 variables. I
understand from the TSclust package manual that the first step is choosing
the dissimilarity meassure we are going to use. However I canno
4 matches
Mail list logo