Displaying 4 results from an estimated 4 matches for "kmeansruns".
2008 Mar 18
3
Partition data into clusters
Greetings R-users,
I have been using the fpc package in R to cluster my data. Speficically I am
using kmeansruns clustering.
I would like to know how I use R to partition data into clusters. What I am
doing is as follows.
# Use csv file as input
#####################
wholeset = read.csv("Spellman800genesImputed.csv")
# exclude first col (gene names)
##########################
wholeset2 = wholeset[...
2007 Dec 10
1
Rerolling k-means
Hi all
I am working on k-means algorithm (in R: kmeans( ) ). The R-help advice
us to try several random start in order to avoid local minimum. Does one
know if there is a procedure that automaticly run this rerolling and
select the best partition ? Or any studies that gives clues on the
number of rerolling ?
Thanks for helping.
Christophe
2009 Dec 11
1
cluster size
hi r-help,
i am doing kmeans clustering in stats. i tried for five clusters clustering using:
kcl1 <- kmeans(as1[,c("contlife","somlife","agglife","sexlife",
"rellife","hordlife","doutlife","symtlife","washlife",
2011 Aug 10
4
Clustering Large Applications..sort of
Hello all,
I am using the clustering functions in R in order to work with large
masses of binary time series data, however the clustering functions do not
seem able to fit this size of practical problem. Library 'hclust' is good
(though it may be sub par for this size of problem, thus doubly poor for
this application) in that I do not want to make assumptions about the number
of