funtimes (version 5.0)

CNeighbor: Neighborhood of Time Series

Description

This is an auxiliary function to identify which time series in Bv are \(E^\theta_\delta\)-neighbors of Bu, based on Definition 2 by Ciampi et al. (2010).

Usage

CNeighbor(Bu, Bv, Alpha, Beta, Delta, Theta)

Arguments

Bu

a time series vector for which the neighborhood is investigated.

Bv

a time series vector (of the same length as Bu) or a matrix (time series in columns) containing potential neighbors.

Alpha

lower limit of the time series domain.

Beta

upper limit of the time series domain.

Delta

closeness parameter, a real value in [0,1].

Theta

connectivity parameter, a real value in [0,1].

Value

A vector of logical values indicating which time series in Bv are \(E^\theta_\delta\)-neighbors of Bu.

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

CHomogeneity, CExpandSlideCluster, CSlideCluster, CExpandWindowCluster, CWindowCluster

Examples

# NOT RUN {
Bu <- rnorm(10)
Bv <- rnorm(10)
Alpha <- min(c(Bu, Bv))
Beta <- max(c(Bu, Bv))
CNeighbor(Bu, Bv, Alpha, Beta, Delta = 0.5, Theta = 0.8)
# }