SAPC: The stochastic approximation principal component can handle...
In SOPC: The Sparse Online Principal Component Estimation Algorithm
SAPC R Documentation
The stochastic approximation principal component can handle online data sets with highly correlated.
Description
The stochastic approximation principal component can handle online data sets with highly correlated.
Usage
SAPC(data, m, eta)
Arguments
data
is a highly correlated online data set
m
is the number of principal component
eta
is the proportion of online data to total data
Value
Asa,Dsa
Examples
SAPC(data=PSA,m=3,eta=0.8)
SOPC documentation built on May 31, 2023, 7:42 p.m.
R Package Documentation
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| SAPC | R Documentation |
The stochastic approximation principal component can handle online data sets with highly correlated.
Description
The stochastic approximation principal component can handle online data sets with highly correlated.
Usage
SAPC(data, m, eta)
Arguments
data |
is a highly correlated online data set |
m |
is the number of principal component |
eta |
is the proportion of online data to total data |
Value
Asa,Dsa
Examples
SAPC(data=PSA,m=3,eta=0.8)
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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