funtimes (version 2.2)

CSlideCluster: Slide-level time series clustering

Description

This function clusters time series at a slide level, based on the Algorithm 1 of Ciampi et al. (2010).

Usage

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.

Value

dim(X)[2] with cluster labels.

References

Ciampi, A., Appice, A. and Malerba, D. (2010) Discovering trend-based clusters in spatially distributed data streams. In International Workshop of Mining Ubiquitous and Social Environments, pages 107--122.

See Also

CNeighbor, CHomogeneity, CExpandSlideCluster, CExpandWindowCluster, CWindowCluster.

Examples

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