Wrong Euclidean distance H2O calculations R -


i using h2o r calculate euclidean distance between 2 data.frames:

set.seed(121)  #create data df1<-data.frame(matrix(rnorm(1000),ncol=10)) df2<-data.frame(matrix(rnorm(300),ncol=10)) #init h2o h2o.init()  #transform h2o df1.h<-as.h2o(df1) df2.h<-as.h2o(df2)

if use normal calculations, i.e. first row:

distance1<-sqrt(sum((df1[1,]-df2[1,])^2))

and if use h2o library:

distance.h2o<-h2o.distance(df1.h[1,],df2.h[1,],"l2")  print(distance1) print(distance.h2o)

the distance1 , distance.h2o not same. knows why? thanks!!

it seems if h2o.distance calculates sum of squares, without taking square root: take square root standard result.

distance.h2o <- h2o.distance(df1.h[1,],df2.h[1,],"l2")  sqrt(distance.h2o)

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