Hi,
I suspect your column Species is of class "factor" (as it is in R's built in
iris dataset).
This means that in your case Species is an integer vector with the
additional information of the levels names. kmeans is internally calling
as.matrix(), which creates a character matrix of your dataframe, because one
column is factor and you get an error.
After binding the columns with cbind, the result is an integer matrix with
the Species columns as the internal levels (1,2 and 3 instead of "setosa"
"versicolor" "virginica" ) and kmeans is not throwing a error any more.
Furthermore kmeans wouldn't work in the first case, because there is no
"size=" - argument in kmeans. You probably meant centers=3.
For additional information try ?kmeans
Christoph
2011/10/16 Raji <raji.sanka...@gmail.com>
> Hi All,
>
> For executing kmeans for Iris, we found that there were 2 different ways.
>
> dataFrame <- read.csv("c:/Iris.csv",header=T)
>
> 1. kmeans_model<-kmeans(dataFrame[1:5],size=3)
> *This gave an error as it had Species which is a String column as one of
> the inputs*
>
> 2.attach(dataFrame)
>
>
> kmeans_model<-kmeans(cbind(SepalLength,SepalWidth,PetalLength,PetalWidth,Species),3)
>
> * But this command worked and gave output.*
>
> Does this mean that kmeans can accept String inputs also?
>
> Can you please let me know how the second command works?
>
> Thanks in advance.
>
> Regards,
> Raji
>
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