get_clusters_3d: Extracts events from a three-dimensional data stream

In eventstream: Streaming Events and their Early Classification

Extracts events from a three-dimensional data stream

Description

This function extracts events from a three-dimensional (2D spatial x 1D time) data stream.

Usage

get_clusters_3d(dat, thres = 0.95, epsilon = 3, miniPts = 15)

Arguments

dat	The data matrix
thres	The cut-off quantile. Default is set to 0.95. Values greater than the quantile will be clustered. The rest is not clustered.
epsilon	The eps parameter in dbscan function in the package dbscan
miniPts	The minPts parameter in dbscan function in the package dbscan

Value

A list with following components

clusters	The cluster assignment according to DBSCAN output.
data	The data of this cluster assignment.

Examples

set.seed(1)
arr <- array(rnorm(12000),dim=c(40,25,30))
arr[25:33,12:20, 20:23] <- 10
# getting events
out <- get_clusters_3d(arr, thres=0.985)
# plots
oldpar <- par(mfrow=c(1,3))
plot(out$data[,c(1,2)], xlab="x", ylab="y", col=as.factor(out$clusters$cluster))
plot(out$data[,c(1,3)], xlab="x", ylab="z",col=as.factor(out$clusters$cluster))
plot(out$data[,c(2,3)], xlab="y", ylab="z",col=as.factor(out$clusters$cluster))
par(oldpar)

eventstream documentation built on May 16, 2022, 9:06 a.m.