Hi

> -----Original Message-----
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Venky
> Sent: Wednesday, June 17, 2015 8:43 AM
> To: R Help R
> Subject: [R] cluster analysis
>
> Hi friends,
>
> I have data like this
>

In R or elsewhere?

>
>
> Group
>   Employee size WOE Employee size2 Weight of Evidence 1081680995 0
> 0.12875537 0.128755 -0.30761 1007079896 1 0.48380133 -0.46544 -0.70464
> 1000507407 2 0.26029825 -0.46544 0.070221 1006400720 3 0.12875537
> 0.128755
> 0.151385 1006916029 4 0.12875537 -0.05955 0.320269 1006717587 5
> 0.12875537
> 1002032301 6 0.12875537 1007021594 7 0.26029825 1007118066 8 0.26029825
> In this data first variable (Employee size) has 10 rows and variable 2
> (employee size2) has only 5 rows

Extremely messy due to HTML posting. Use plain text post as recommended by 
Posting Guide.

>
> Question 1:there are different number of rows so that, we can able to
> do K-means cluster or not?

I am not an expert but why not to try it?

> Question 2:If we run k-means clustering in R answer not coming  because
> of NA exists
>
> I have used dataset<-na.omit(dataset)
>
> But that time also i cannot able to run clustering

Perhaps not enough data remained after NA removing.

To get better answer you shall provide reproducible example or at least some 
usable data.

Cheers
Petr


>
> Please help me to find this answer
>
>       [[alternative HTML version deleted]]
>
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