get_clusters: Extracts events from a two-dimensional data stream

In eventstream: Streaming Events and their Early Classification

Extracts events from a two-dimensional data stream

Description

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

Usage

get_clusters(
  dat,
  filename = NULL,
  thres = 0.95,
  vis = FALSE,
  epsilon = 5,
  miniPts = 10,
  rolling = TRUE
)

Arguments

dat	The data matrix
filename	If set, the figure of extracted events are saved in this name. The filename needs to include the correct folder and file name.
thres	The cut-off quantile. Default is set to 0.95. Values greater than the quantile will be clustered. The rest is not clustered.
vis	If TRUE, the window data and the extracted events are plotted for a 2D data stream.
epsilon	The eps parameter in dbscan function in the package dbscan
miniPts	The minPts parameter in dbscan function in the package dbscan
rolling	This parameter is set to TRUE if rolling windows are considered.

Value

A list with following components

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

Examples

out <- gen_stream(2, sd=15)
zz <- as.matrix(out$data)
clst <- get_clusters(zz, vis=TRUE)

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