DSC_Window
From stream v1.23
by Michael Hahsler
A sliding window from a Data Stream
Implements a sliding window which keeps a fixed amount (window length) of the most recent data points of the stream.
Usage
DSC_Window(horizon = 100, lambda=0)
Arguments
 horizon
 the window length.
 lambda
 decay factor damped window model.
lambda=0
means no dampening.
Details
If lambda
is greater than 0 then the weight
uses a damped window model (Zhu and Shasha, 2002).
The weight for points in
the window follows $2^{lambda*t}$ where $t$ is the age of the point.
Value

An object of class
DSC_Window
(subclass of
DSC
, DSC_R
, DSC_Micro
).
References
Zhu, Y. and Shasha, D. (2002). StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time, Intl. Conference of Very Large Data Bases (VLDB'02).
See Also
Examples
stream < DSD_Gaussians(k=3, d=2, noise=0.05)
window < DSC_Window(horizon=100)
window
update(window, stream, 200)
window
# plot microclusters
plot(window, stream)
# animation for a window using a damped window model. The weight decays
# with a halflife of 25
## Not run:
# window < DSC_Window(horizon=25, lambda=1/25)
# animate_cluster(window, stream, horizon=1, n=100, xlim=c(0,1), ylim=c(0,1))
# ## End(Not run)
Community examples
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