The goal of BalKmeans is to implement balanced K-Means algorithm where the minimum and maximum number of observations in each cluster and also the power ratings of each observation are taken as constraints. Optimal group of observations are developed along with balancing of imbalanced observations.
You can install the released version of BalKmeans from CRAN with:
install.packages("BalKmeans")
This is a basic example which shows you how to solve a common problem:
## basic example code
What is special about using README.Rmd
instead of just README.md
? You can include R chunks like so:
summary(cars)
#> speed dist
#> Min. : 4.0 Min. : 2.00
#> 1st Qu.:12.0 1st Qu.: 26.00
#> Median :15.0 Median : 36.00
#> Mean :15.4 Mean : 42.98
#> 3rd Qu.:19.0 3rd Qu.: 56.00
#> Max. :25.0 Max. :120.00
You'll still need to render README.Rmd
regularly, to keep README.md
up-to-date.
You can also embed plots, for example:
In that case, don't forget to commit and push the resulting figure files, so they display on GitHub!
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.