Displaying 13 results from an estimated 13 matches for "hierclust".
2004 Jun 10
2
question about hierclust {multiv}
my major is bioinformatics, and i'm trying to cluster ( agglomerate
the closest pari of observations ) in R.
i have already got my own similarities metric, but do not know how to
clust it based on similarities instead of dissimilarities.
since the help document of hierclust mentions the parameter "sim",
which seems good to me, but it doesn't appear in the code of
hierclust() function again? and no sample about it. so could anybody
please help me as author?
thanks in advance
xinan yang
xinan at molgen.mpg.de
2004 Jun 10
1
question about similarities cluster using hierclust
my major is bioinformatics, and i'm trying to cluster ( agglomerate
the closest pari of observations ) in R.
i have already got my own similarities metric, but do not know how to
clust it based on similarities instead of dissimilarities.
since the help document of hierclust mentions the parameter "sim",
which seems good to me, but it doesn't appear in the code of
hierclust() function again? and no sample about it. so could anybody
please help me as author?
thanks in advance
xinan yang
xinan@molgen.mpg.de
2000 Aug 31
2
Multiv / hierclust / plclust
I use hierclust (hierarchical clustering) in multiv package. In the
documentation it is said that plclust (plotting a dendrogram) is
available in S-plus. Can I find it anywhere (I have searched through
http://lib.stat.cmu.edu/S and found only quotations of plclust in
multiv) or is it only part of the S package...
2003 Feb 09
3
Clustering partition and memory
Dear R-help list members
i would like to use R to produce clustering or partitioning of a dataset.
I am trying to use the functions:
- hierclust() of the package multiv
-pam(), agnes() and fanny() of the package cluster
But I cannot get any result because of lack of memory. Would you know any
clustering function not to greedy in memory?
I have tried to expand my memory limit with memory.limit() but no
significant results.
Thank you for...
2002 Jan 09
1
Distance matrix by cosine?
Hello,
a. is there a possibility to obtain a distance matrix with the cosine between vectors?? hclust, hierclust, dist will not work and seem to be hard to extend.
b. if there is not: Is the cosine between vectors implemented somewhere?
Thanks for all hints and advice!
Petra Steiner
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2006 May 08
1
finding centroids of clusters created with hclust
Hello,
Can someone point me to documentation or ideas on how to calculate the
centroids of clusters identified with hclust ?
I would like to be able to chose the number of clusters (in the style of
cutree) and then get the centroids of these clusters.
This seems like a quite obvious task to me, but I haven't been able to
put my hands on a relevant command.
Thank you,
Moritz
1998 May 29
1
R-beta: multiv package from CRAN
Hallo Friedrich,
I have read your announcement, downloaded and installed it in R-0.61.3.
But now I have problems :)
> hc <- hierclust(dist(t(pollen)), method=3)
Error in pmatch(x, table) : argument is not of mode character
> hc <- hclust(dist(t(pollen)))
> members(hc)
Error in .Fortran("assgn", n = as.integer(n), nplus1 =
as.integer(nplus1), : C/Fortran function not in load table
Since I have a snapshot from...
2001 Nov 29
2
memory issue trying to solve too large a problem using hclust
...the distance matrix are
being made, and whether I could somehow stop them from being made. Any
other suggestions for how I could get around the memory problem would also
be appreciated. (I know of clara in the "cluster" package, but would like
to use hierarchical methods.)
The function hierclust in multiv seems to demand even more memory, even when
bign = T.
I am running R-1.3.1 on Sun OS 5.6.
Thanks for any help.
Matthew Wiener
Applied Computer Science and Mathematics Department
Merck Research Labs
Rahway, NJ 07065-0900
732-594-5303
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-....
1998 May 29
0
R-beta: multiv package on CRAN
...Contents:
bea Bond Energy Algorithm
ca Correspondence Analysis
supplc Supplementary Columns in Correspondence Analysis
supplr Supplementary Rows in Correspondence Analysis
flou Fuzzy Coding (3-Way)
hierclust Hierarchical Clustering
logique Logical Coding
members Cluster Memberships
partition Partitioning by Iterative Optimization
pca Principal Components Analysis
sammon Sammon's Non-Linear Mapping...
1998 May 29
0
R-beta: multiv package on CRAN
...Contents:
bea Bond Energy Algorithm
ca Correspondence Analysis
supplc Supplementary Columns in Correspondence Analysis
supplr Supplementary Rows in Correspondence Analysis
flou Fuzzy Coding (3-Way)
hierclust Hierarchical Clustering
logique Logical Coding
members Cluster Memberships
partition Partitioning by Iterative Optimization
pca Principal Components Analysis
sammon Sammon's Non-Linear Mapping...
2002 Jan 25
1
Fw: Summary for Distance matrix by cosine?
...<- as.dist(dista)
etc.
----- Original Message -----
From: Petra Steiner
To: r-help at lists.r-project.org
Sent: Wednesday, January 09, 2002 11:13 PM
Subject: [R] Distance matrix by cosine?
Hello,
a. is there a possibility to obtain a distance matrix with the cosine
between vectors?? hclust, hierclust, dist will not work and seem to be hard
to extend.
b. if there is not: Is the cosine between vectors implemented somewhere?
Thanks for all hints and advice!
Petra Steiner
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tu...
2010 Sep 01
8
how to replace NA with a specific score that is dependant on another indicator variable
Hi everyone,
I’m looking for a clever bit of code to replace NA’s with a specific score
depending on an indicator variable.
I can see how to do it using lots of if statements but I’m sure there most
be a neater, better way of doing it.
Any ideas at all will be much appreciated, I’m dreading coding up all those
if statements!!!!!
My problem is as follows:
I have a data set with
2002 Feb 01
1
Novice question : Classification of time series
Hello all,
I know this may not be the right forum for this. But I'm relatively new to R
(and it's been a while since I did any serious statistical research). I need
some help in using R for my project. This is what I need to do :
1. Read time series data (of varying time spans) from text files into R
arrays
2. Segregating the time series into "sets" of "classes" that