CSlideCluster: Slide-Level Time Series Clustering

In funtimes: Functions for Time Series Analysis

Slide-Level Time Series Clustering

Description

Cluster time series at a slide level, based on Algorithm 1 of \insertCiteCiampi_etal_2010;textualfuntimes.

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

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

Author(s)

Vyacheslav Lyubchich

References

\insertAllCited

See Also

CSlideCluster, CWindowCluster, and BICC

Examples

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

funtimes documentation built on March 31, 2023, 7:35 p.m.