findClusters: Find the Optimum Kmeans Cluster Model
In mdavis29/modelToolKit: Predictive Models for basic tasks at MUSC
Description
Usage
Arguments
Details
Value
Author(s)
Description
builds a bunch of cluster models to find the optimum number of clusters
Usage
1
2
findClusters(mydata, n = 10, seed = 2012, plotIt = TRUE,
verbose = FALSE)
Arguments
mydata
list of models
n
a data frame to test the model against
seed
set seed for randomization
plotIt
whether to plot solution
verbose
whether to print debugging output
Details
This predict UHC Work RVUS from Work RVUs
Value
a data frame of ss errors by algorythim types
Author(s)
Matthew Davis
mdavis29/modelToolKit documentation built on May 22, 2019, 3:22 p.m.
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Description Usage Arguments Details Value Author(s)
Description
builds a bunch of cluster models to find the optimum number of clusters
Usage
1 2 | findClusters(mydata, n = 10, seed = 2012, plotIt = TRUE,
verbose = FALSE)
|
Arguments
mydata |
list of models |
n |
a data frame to test the model against |
seed |
set seed for randomization |
plotIt |
whether to plot solution |
verbose |
whether to print debugging output |
Details
This predict UHC Work RVUS from Work RVUs
Value
a data frame of ss errors by algorythim types
Author(s)
Matthew Davis
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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