CSlideCluster function

Slide-Level Time Series Clustering

Cluster time series at a slide level, based on Algorithm 1 of if(!exists(".Rdpack.currefs")) .Rdpack.currefs <-new.env();Rdpack::insert_citeOnly(keys="Ciampi_etal_2010;textual",package="funtimes",cached_env=.Rdpack.currefs) .

CSlideCluster(X, Alpha = NULL, Beta = NULL, Delta = NULL, Theta = 0.8)

Arguments

• X: a matrix of time series observed within a slide (time series in columns).

• Alpha: lower limit of the time series domain. Default is quantile(X)[2] -

  1.5*(quantile(X)[4] - quantile(X)[2]).

• Beta: upper limit of the time series domain. Default is quantile(X)[2] +

  1.5*(quantile(X)[4] - quantile(X)[2]).

• Delta: closeness parameter, a real value in $[0,1]$. Default is 0.1*(Beta - Alpha).

• Theta: connectivity parameter, a real value in $[0,1]$. Default is 0.8.

Returns

A vector of length ncol(X) with cluster labels.

Examples

set.seed(123)
X <- matrix(rnorm(50), 10, 5)
CSlideCluster(X)

References

if(!exists(".Rdpack.currefs")) .Rdpack.currefs <-new.env();Rdpack::insert_all_ref(.Rdpack.currefs)

See Also

CSlideCluster, CWindowCluster, and BICC

Author(s)

Vyacheslav Lyubchich