R in Qlik Sense: K-Means on Iris Data in Script

julmeran — Sat, 16 Nov 2024 05:25:14 GMT

Hello,

i already integrated R in Qlik Sense and used the k-means algorithm for clustering the Iris Dataset. That works perfekt, when i do it in the diagram.

When i write the following Code, R returns: "Rserve Traceback: stop("more cluster centers than distinct data points.")".

When i use the same k-means-command to color the scatter plot, it works fine.

This is my script:

[Iris]: LOAD observation, "sepal length" as seplen, "sepal width" as sepwid, "petal length" as petlen , "petal width" as petwid FROM [lib://Data/Iris.csv]; [KMeans]: Load observation as observation, petlen as petlen, petwid as petwid, R.ScriptEval('kmeans(cbind(q$petlen, q$petwid), 2 , nstart = 10)$cluster ;', petlen , petwid) Resident [Iris] ;

Any help is appreciated.

Re: R in Qlik Sense: K-Means on Iris Data in Script

abinayababu — Tue, 23 Jul 2019 10:49:11 GMT

HI , COULD YOU PLEASE SHARE STEP BY STEP INTEGRATION OF R EXTENSION IN QLIK SENSE
I WILL REALLY APPERCIATEIF YOU COULD SHARE DETAILS

topic Re: R in Qlik Sense: K-Means on Iris Data in Script in Integration, Extension & APIs

R in Qlik Sense: K-Means on Iris Data in Script

Re: R in Qlik Sense: K-Means on Iris Data in Script