kNNcd: k-Nearest Neighbor based change point detection
In mlondschien/hdcd: High - Dimensional Change Point Detection
Description
Find (non-parametric) breaks in the distribution of a time series using k-Nearest Neigbor Classifiers
Usage
1
kNNcd(x, delta = 0.1, control = hdcd_control())
Arguments
x
A matrix with observations in rows
delta
Minimal relative segment length, defaults to 0.1
control
Control parameter as returned by hdcd_control
mlondschien/hdcd documentation built on Jan. 5, 2021, 11:26 p.m.
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Description
Find (non-parametric) breaks in the distribution of a time series using k-Nearest Neigbor Classifiers
Usage
1 | kNNcd(x, delta = 0.1, control = hdcd_control())
|
Arguments
x |
A matrix with observations in rows |
delta |
Minimal relative segment length, defaults to 0.1 |
control |
Control parameter as returned by hdcd_control |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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