search for: vev

...ng the parameterized EM- Algorithm in clustering context. I use generated datasets, containing 5000 points in 20 dimensions with 5 clusters. The following poses a problem for me: emEst<-me(modelName="EEV",data=data[,1:numDimensions],z=unmap(x)) emEst<-me(modelName="VEV",data=data[,1:numDimensions],z=unmap(x)) coordProj(main="Model EEV",data,dimens=c(1,2),type="classification",ask=F,mu=emEst$mu,sigma=em Est$sigma,z=emEst$z) coordProj(main="Model EEV",data,dimens=c(1,2),type="classification",ask=F,mu=emEst$...

...rdized) I get the best model EEV (2 classes), EII (k-means) curve is under EEV curve what suggests that k-means is worse then EEV, but class error for EII equals 0 and for EEV= 6% (and more for another variables), why? Even applying iris data we get lower class error for EII model (10%) than for VEV (33%) for 2 classes, in spite of that VEV model and others models curves are above EII model at the BIC plot. For this data BIC chooses VEV for 2 clusters while the right number of classes, given in column "Species" My second question is: when model-based clustering (for which data se...

...matrix (not very large, but the same happens always when specifying k): > dim(m2) [1] 242 2 > em321 <- emclust(m2,k=50) Error in mhtree.VVV(data[smpl, ]) : data must be a matrix with at least 2 columns > em321 <- emclust(m2) (No problems) > em321 <- emclust(m2,modelid="VEV",k=50) Error in mhtree.VVV(data[smpl, ]) : data must be a matrix with at least 2 columns > library(help=mclust) mclust Model-based cluster analysis Description: Package: mclust Version: 1.1-5 (...) Built: R 1.3.1; i686-pc-linux-gnu; Thu Dec 13 04:02:36 CET 2001 What is going...

...ing W32 conversion functions that would be CP_ACP). If that fails, fail the function call as usual. -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.11 (MingW32) Comment: Using GnuPG with Thunderbird - http://www.enigmail.net/ iQEcBAEBAgAGBQJRWX2+AAoJEOs4Jb6SI2Cw914IAMkkQr7ZmiZ/Ei9nhXEtKATe oASC/VEv/1MqJK2u1VF0hDIMjVjqHbqX2I+twEMQR5UXmH1oJXmhbZjS5s9J2Iqq l8F9MRp9AhCpHo0+zqWQ3He0YmdYnSWLO3L6LLph9oGexDIBke8y2K4n7Vi+tNgP nVpe6+O/gXws/JLpPpfUSvHv9Nzl/yDPBlBc2FVsTYs0dWGInP1RD1ugitohGgcH VHzwit3+BmZW7NZer4fBhzIaOoqmDhLrwj3QFLfnosaj0H73U+Hiav5rF6vhKPq5 RNpsvbJsAZXanmpDteZmgXjA5ll7oEfe+IDLubm+0c+XXAYg...

Dear R-users, I have a two - dimensional data set which needs to be clustered into groups: I'm searching for groups of points which show a positive correlation (in a twodimensional plot of the data set), but I do not have any knowledge about how many groups there might be. Do you know of a clustering algorithm in R (or in general) which can use a-priori information about the cluster's

Hi, My questions concern the function 'mclustBIC' which compute BIC for a range of clusters of several models on the given data and the other function 'mclustModel' which choose the best model and the best number of cluster accordind to the results of the previous cited function. 1) When trying the following example (see ?mclustModel), I get negative BIC computed by

...com], filter => [(&(objectClass=sambaGroupMapping)(sambaSID=S-1-5-21-3454558961-4160617652-6 13799516-512))], scope => [2] init_group_from_ldap: Entry found for group: 512 lookup_rids: Domain Admins:2 Primary Group SID: S-1-5-21-3454558961-4160617652-613799516-512 Full Name: VeV Home Directory: \\TLGSRV\hr HomeDir Drive: H: Logon Script: startup.bat Profile Path: Domain: TLG Account desc: Workstations: Munged dial: Logon time: 0 Logoff time: Tue, 19 Jan 2038 04:14:07 CET Kickoff time: Tue, 19 Jan 2038 04:14:07 C...

Hi all, The latest pre-release is here: http://downloads.xiph.org/releases/flac/beta/flac-1.3.0pre3.tar.xz but there will probably need to be at least one more. I've tested this on x86_64-linux powerpc-linux i386-openbsd5.2 i386-freebsd9 The majority of changes since the last pre-release is the addition of Janne Hyv?rinen's utf8 I/O functionality. Janne's