Hi friends, I have data like this
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 Question 1:there are different number of rows so that, we can able to do K-means cluster or not? 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 Please help me to find this answer [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.