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README.md
In LPCM: Local Principal Curve Methods
LPCM
This package can be used for fitting multivariate data patterns with
local principal curves, including tools for data compression
(projection) and measuring goodness-of-fit; with additional
functionalities for mean shift clustering.
library(LPCM)
data(calspeedflow)
lpc1 <- lpc(calspeedflow[,3:4])
plot(lpc1, lwd=2, curvecol="red")
ms1 <- ms(calspeedflow[,3:4], plot=FALSE)
plot(ms1)
Try ?LPCM, ?lpc and ?ms.
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LPCM documentation built on Sept. 11, 2024, 7:53 p.m.
R Package Documentation
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LPCM
This package can be used for fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with additional functionalities for mean shift clustering.
library(LPCM)
data(calspeedflow)
lpc1 <- lpc(calspeedflow[,3:4])
plot(lpc1, lwd=2, curvecol="red")
ms1 <- ms(calspeedflow[,3:4], plot=FALSE)
plot(ms1)
Try ?LPCM, ?lpc and ?ms.
Try the LPCM package in your browser
Any scripts or data that you put into this service are public.
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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