Displaying 20 results from an estimated 1000 matches similar to: "cluster analysis error - mclust package"
2012 Nov 15
5
cluster analysis in R
I have two issues.
1-I am trying to use morphology to identify gender. I have 9 variables, both
continuous and categorical. I was using two-step cluster analysis in SPSS
because two-step could deal with different types of variables. But the
output tells me that an animal is in cluster 1 or 2, it does not give me a
probability (ex. 0.70 cluster 2). I also did not want to specify that I
want two
2013 Jul 26
1
variación en los resultados de k medias (Alfredo Alvarez)
Buen día, no sé si estoy utilizando bien la lista, es la primera vez. Si lo
hago mal me corrigen por favor.
Sobre tu comentario Pedro, muchas gracias. Lo qeu entiendo con tu
sugerencia de set.seed es qeu de esa forma fijas los resultados, pero no
estoy seguro si otra agrupación funcione mejor. Es decir me interesa un
método de agrupación que genere la "mejor" agrupación y como los
2012 Mar 04
1
rpart package, text function, and round of class counts
I run the following code:
library(rpart)
data(kyphosis)
fit <- rpart(Kyphosis ~ ., data=kyphosis)
plot(fit)
text(fit, use.n=TRUE)
The text labels represent the count of each class at the leaf node.
Unfortunately, the numbers are rounded and in scientific notation rather
than the exact number of examples sorted by that node in each class.
The plot is supposed to look like
2009 Jan 16
1
installing mclust and flexmix on linux
I've been trying to install some R packages such as mclust and flexmix on linux but have had the following error messages.
> I've been trying to install mclust on my notebook which has linpus linux lite os and I have installed R as well as some packages all right. However, when I tried to install mclust, it gave me the following messages. Any suggestions?
Tim
++++++++++++++++
2003 Nov 15
0
r 1.7.1, MacOS 9.2.2, mclust 2.0-2 (Update)
My previous messge to the list follows below this one.
I found some garbage at the top of the file 'mclust' in the 'R'
subdirectory of the package. I deleted that with BBEdit. The
package appears to load properly now, although I have not really
tested it. I am not sure to whom to report this. I downloaded the
package twice, so this may be a problem with the version stored
2001 Oct 31
2
seg fault with mclust
Howdy,
I'm experiencing a segmentation fault when trying to load
mclust.so from mclust-1.1-4. I'm using R-1.3.1 on RedHat 6.2,
and `gcc --version` reports "egcs-2.91.66".
Any ideas?
-Andy
Package install:
> install.packages("mclust")
[stuff omitted]
Installing source package `mclust'
2003 Nov 15
0
r 1.7.1, MacOS 9.2.2, mclust 2.0-2
To Whom It May Concern:
I am new to r and mclust, so this may be a silly question. It has
also been a lot of years since I have used unix regularly.
I have version 1.7.1 of r, precompiled for Classic Mac OS (I am
running 9.2.2 on a PowerBook G4).
I downloaded the precompiled version 2.0-2 of mclust for Classic MacOS.
The implementation of r appears to be functioning properly (various
2011 Dec 09
1
mclust
While looking at someone's question on this list led me to the mclust
package, and from there to its license.
Excerpts:
Except for strict academic use, use of MCLUST (by itself or through other
packages) requires payment of an annual license fee and completion of a
license agreement found at the following URL:
http://depts.washington.edu/ventures/UW_Technology/Express_Licenses/mclust.php
1.
2008 Mar 26
0
out of colors in Mclust with 12 clusters
I'm running Mclust 3.0 in R-2.7.0 and have run into a situation where
the optimal number of clusters, 12, seems to be greater than the number
of colors available to Mclust. The code below, which demonstrates
errors, does not if the max no of clusters is set at 10. sessionInfo,
after a restart of R and loading of packages, follows the output.
Is this a known problem with Mclust? Can I
2003 Nov 15
0
r 1.7.1, MacOS 9.2.2, mclust 2.0-2 (Update), lapackLib
I am new to r and mclust.
I have version 1.7.1 of r, precompiled for Classic Mac OS (I am running 9.2.2 on a PowerBook G4).
I downloaded the precompiled version 2.0-2 of mclust for Classic MacOS.
It appears (from the example I was using below) that I need a library called lapackLib. There does not appear to be a precompiled version at CRAN. There is a makefile for lapackLib, to use with MPW.
2010 Sep 22
0
Help with mclust package
Hi,
I am trying to run th mclust package on a variable "Tuberculin indurations"
recorded as mm. The file has only one variable. When I run the package I get
NULL value for mu and sigma. Can anybody say why?
This is the program:
library("mclust")
mc<-Mclust(x.trab,G=1:9,warn=TRUE)
mc
mc$mu
sqrt(mc$sigmasq)
and the output I get is
> library("mclust")
2000 Dec 07
0
mclust was Re: R or Splus
> > However... I could become an R convert if I'm told it's
> >
> > a) mind-bogglingly simple to install on Win Nt
> > there are firm limits to my geek credentials
> > b) can handle cluster analysis with 2000 records (mclust, preferred,
> > although I'd take kmeans if nec'y). Splus 5.0 on the
> > Manchester Cray has been falling
2005 Jan 06
2
Segmentation fault while using Mclust function of mclust library in R-2.0.1
Hi, all;
I got an unusual error while using mclust library 2.1-7 on R 2.0.1.
When I tried to run Mclust(rnorm(100)), I got segmentation fault error.
Does anyone know what causes this problem?
I came across the same problem even when I tried to run the example shown in
Mclust help using iris data.
Thanks in advance,
Tae-Hoon Chung
--------------------------------------------------
Tae-Hoon Chung
2008 Jul 21
1
Mclust - which cluster is each observation in?
I'm trying to test a method of identifying individuals (birds) based on
measured data (their calls).
I have test data from known individual birds, and I am using the Mclust
package to see if the program can correctly identify which calls come from
different birds.
So far, mclust has correctly ID'd the number of birds in the test data set
(i.e., the correct # of clusters). However I
2011 Sep 03
2
mclust: modelNames("E") vs modelNames=("V")
Hi,
I'm trying to use the library mclust for gaussian mixture on a numeric
vector. The function Mclust(data,G=3) is working fine but the fitting is not
optimal and is using modelNames="E". When I'm trying
Mclust(data,G=3,modelName="V") I have the following message:
Error in if (Sumry$G > 1) ans[c(orderedNames, "z")] else ans[orderedNames] :
argument is
2008 Mar 06
2
Principle component analysis function
Dear All,
In a package, I want to use PCA function. The structure I used follow this
page: http://www.statmethods.net/advstats/factor.html.
fit<-principle(mydata, nfactors=9, rotation=TRUE)
or:
result<-PCA(mydata)
But I don't known why R language in my computer noticed: "not found
principle", "not found PCA".
I download and installed
2009 Dec 04
0
flexmix and mclust help
Hello,
I'm trying out flexmix and mclust for the first time on some univariate data
which is typically best described as lognormal, but can sometimes be gamma
distributed as well. I first tried using EM on mclust assuming the data was
lognormally distributed and could only get it to work in "E" mode, i.e. the
equal variance mode. I could never get it to work on "V" mode [
2007 Jun 28
0
prior covariance in Mclust
Hello,
I'm trying to use Mclust to fit a Gaussian Mixture Model to a
mulitdimensional data set.
Because of the specific source of my data, I know that all components
have the same variance and that the covariance between dimensions is
zero (modelname=VII).
Furthermore, I have a reliable estimate of the variance of the components.
I want to to use this estimate as a prior in mclust, hoping
2007 Oct 03
0
help with mclust
Dear all,
I am attempting to model some one-dimensional data using Gaussian
mixture model with mclust. Generally, the data that I have have 3
overlapping populations (with one of them being the majority, and the
other two combining to less than 15%) and for some reason, mclust
consistently ignores the smaller peaks, giving me strange values for the
means (completely anti-intuitive in terms of
2002 Feb 14
1
Subsets in mclust
Dear group,
I want to use the mclust package on large data, and therefore I want to use
a subset in the initial clustering phase. From help(mclust):
k: If `k' is specified, the hierarchical clustering phase will
use a sample of size `k' of the data in the initial
hierarchical clustering phase. The default is to use the
entire data set.
m2 is a