similar to: cclust - cindex - binary data

Hello, here is my problem, After looking at the mail archives, I found a description of the error I get when I use this package. At first I even tought that they were showing how to solve it. But the thing is that by saying "the programmer forgot drop=FALSE" doesn't show me how I should get rid of the problem I have looked inside the package very quickly and I found three

Hi all, once more about the old subj :-) My data has too much various distribution families and for every particular experiment I need just to decide whether the data is "quite homogeneous" or it has two or more clusters. I've revisited the following libraries: amap, clust, cclust, mclust, multiv, normix, survey. And I didn't find any ready-to-use general

Hi- I'd like to apply some of the cluter indices, using 'clustindex' in the cclust package, but using output from hierarchical clustering using 'hclust' in the mva package. The two packages use a different format for storing the results of clustering; has anyone coerced one into the other? Thanks! -John Barnett

Hi all, Why subscripting a one column matrix drops one dimension? > x<- matrix(rnorm(100), ncol=1) > str(x) num [1:100, 1] -0.413 -0.845 -1.625 -1.393 0.507 ... > str(x[20:30,]) num [1:11] -0.315 -0.693 -0.771 0.448 0.204 ... > str(x[20:30]) num [1:11] -0.315 -0.693 -0.771 0.448 0.204 ... This breaks: > cov(x) [,1] [1,] 0.9600812 >

I have to solve a clustering problem. My first step is to determinate the number of clusters, that's why I 'm using the Calinski index ( [tr(b)/(k-1)]/[tr(w)/(k-1)] ) which i try to maximize to have the best number of clusters. A function is already implemented in R to calculate this index : clustIndex(cl,x, index="calinski") where cl is the result of a clustering method ,

> Well, that is in all good texts on R, together with the > solution: drop=FALSE. See ?"[" for the on-line details. OK. Thank you a lot. Now patched cclust and clustIndex work fine for 1D case. BTW, why not to apply the "drop=F" to these functions? I guess other users need 1D case as well. kind regards, Valery A.Khamenya

I would like to see an example of a data matrix for cclust and how to import it to cclust. In fact, i don't know how to give my imput for cclust program! i test this file 1 0.23 1.52 2 0.52 1.25 3 0.13 1.89 4 0.78 1.11 i do >library(cclust) >x<-scan("test.matrice.phyl") >cclust(x,2,method="kmeans") i have this error message: Error in sample(length(x),

Dear R users, When I run the following code, R crashes: require(cclust) x <- matrix(c(0,0,0,1.5,1,-1), ncol=2, byrow=TRUE) cclust(x, centers=x[2:3,], dist="manhattan", method="kmeans") While this works: cclust(x, centers=x[2:3,], dist="euclidean", method="kmeans") I'm posting this here because I am not sure if it is a bug. I've been searching

I have checked that section already. Sorry, I should have mentioned that. Memory limit increase does not work. Installtion of msvcrt.dll does not work either. Thank you. -----Original Message----- From: ripley at stats.ox.ac.uk [mailto:ripley at stats.ox.ac.uk] Sent: Wednesday, March 05, 2003 2:44 PM To: Igor Oleinik Cc: r-help at stat.math.ethz.ch Subject: Re: [R] problem with cclust[er]

On 06/25/2012 12:50 AM, Mihai Basa wrote: > Hello all, > > Is there a reason why the library location code in cindex py does not > use find_library() to locate libclang, like in the attached patch? > > Without it there were problems locating a versioned libclang.so.1 file > on Debian, for example. Hi Mihai, as this is a clang related question, I move your mail to the clang

Hello all, Is there a reason why the library location code in cindex py does not use find_library() to locate libclang, like in the attached patch? Without it there were problems locating a versioned libclang.so.1 file on Debian, for example. Cheers, Mihai -------------- next part -------------- An HTML attachment was scrubbed... URL:

To Whom It May Concern, I am currently trying to use R to perform a "kmeans" clustering of a three dimensional data set. In the directory R-1.5.1/library/cclust/data/ I have created a file that has the following format (only the first few lines are shown for brevity): B X.Vtl X.Vtu 1 -0.529043 1.307031 1.625169 2 -0.752502 1.132813 1.480548 3

\tools\clang\tools\CIndex && D:\Tools\Building\cmake\bin\cmake.exe -E cmake_link_script CMakeFiles\CIndex.dir\link.txt --verbose=1 D:\Tools\Building\gcc\bin\g++.exe -shared -o ..\..\..\..\bin\libCIndex.dll -Wl,--out-implib,..\..\..\..\lib\libCIndex.dll.a -Wl,--major-image-version,0,--minor-image-version,0 CMakeFiles\CIndex.dir\CIndex.cpp.obj ..\..\..\..\lib\libLLVMMC.a

On 6 March 2010 10:47, Eric Christopher <echristo at apple.com> wrote: > > On Mar 6, 2010, at 2:44 AM, Aaron Gray wrote: > > > > > clang fails with a dynamic linking problem. > > What's the problem? and if you would please file a bug that would be > awesome :) > > thanks! > > Eric, Neither Cygwin nor MinGW support Dynamic Linking. I am getting

Hi, I am parsing a C++ file using cindex.py and want to get the template parameters to a specific node. However, the tree seems to be different depending on if the template parameter is a struct/class or a simple type such as int or float. In the first case the template type is appended as a child to the VAR_DECL node (the TYPE_REF node seen in the example below), but this is not the case with

There is a new version of the 'CCLUST' package ,where i removed the extra command for the kmeans algorithm in the .R programm and also the comments about it in the .Rd help page. Now in the cclust library the kmeans algorithm can be applied only by using the cclust function. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

There is a new version of the 'CCLUST' package ,where i removed the extra command for the kmeans algorithm in the .R programm and also the comments about it in the .Rd help page. Now in the cclust library the kmeans algorithm can be applied only by using the cclust function. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi, I'm try to build llvm on my PC but it failed. I'm using following command, $ cmake -G "Ninja" ../llvm -DCMAKE_INSTALL_PREFIX=prefix=$INSTALL_PATH -DCMAKE_BUILD_TYPE=Release -DLLVM_ENABLE_ASSERTIONS=On $ ninja-build -j 2 I have skipped libcxx and libcxxabi package. It shows below error, 00:04:23 [3261/3430] Building CXX object

hi, What is the significance of the 2nd arg in cclust, the 'number of clusters'. I have one matrix with two columns representing x,y coards. I'd like to see how random the distributions is. If I try cclust with 'number of clusters' 1 I get an error, > 1 works though. j. -- ...................... ..... Jason C. Leach .. Current PGP/GPG Key ID: 43AD2024

On 6 March 2010 11:16, Aaron Gray <aaronngray.lists at googlemail.com> wrote: > On 6 March 2010 10:47, Eric Christopher <echristo at apple.com> wrote: > >> >> On Mar 6, 2010, at 2:44 AM, Aaron Gray wrote: >> >> > >> > clang fails with a dynamic linking problem. >> >> What's the problem? and if you would please file a bug that