plotSegmentation: Summary plot for the 'segmenTier' pipeline.
In segmenTier: Similarity-Based Segmentation of Multidimensional Signals

Plot all objects from the segmentation pipeline, i.e. the processed time-series, the clustering, the internal scoring matrices and the final segments.

1 2	plotSegmentation(tset, cset, sset, split = FALSE, plot.matrix = FALSE, mai = c(0.01, 2, 0.01, 0.01), ...)

`tset`	a time-series object as returned by `processTimeseries`
`cset`	a clusterings object as returned by `clusterTimeseries`
`sset`	a segmentation object as returned by `segmentClusters` and `segmentCluster.batch`
`split`	split segment plots by clustering plots
`plot.matrix`	include the internal scoring matrices in the plot
`mai`	margins of individual plots, see `par`
`...`	further arguments to `plot.clustering` (`cset`) and `plot.segments` (`sset`). Note: these may conflict and cause errors, but eg. a combination of `cex=0.5, lwd=3` works, affecting cluster point size and segment line width, respectively.