search for: pricip

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2009 Nov 11
1
Loadings and scores from fastICA?
Hi all, Does anyone know how to get the independent components and loadings from an Independent Component Analysis (ICA), as well as principal components and loadings from a Pricipal Component analysis (PCA) using the fastICA package? Or perhaps if there's another way to do ICAs in R? Below is an example from the fastICA manual (http://cran.r-project.org/web/packages/fastICA/fastICA.pdf) if(require(MASS)) { x <- mvrnorm(n = 1000, mu = c(0, 0), Sigma = matrix...
2017 Jan 18
1
AD attibutes of the (in this case) member servers differences.
...his because i needed AES128-CTS-HMAC-SHA1-96 AES256-CTS-HMAC-SHA1-96 in my keytab of my new proxy. Is this normaly behaivor?   And can someone explain why the default keytabs have : arcfour-hmac aes256-cts-hmac-sha1-96 aes128-cts-hmac-sha1-96 des-cbc-md5 des-cbc-crc   and the exported with –pricipal only : arcfour-hmac des-cbc-md5 des-cbc-crc   Thanks in advance and when im done i’ll post the howto for this.     Best regards,   Louis    
2009 Nov 07
1
after PCA, the pc values are so large, wrong?
...12e-05 -1.264 0.210 --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 Residual standard error: 0.691 on 68 degrees of freedom Multiple R-squared: 0.3644, Adjusted R-squared: 0.3364 F-statistic: 12.99 on 3 and 68 DF, p-value: 8.368e-07 x2,x3 is not significance. by pricipal, after PCA, the pcs should significance, but my data is not, why? -- View this message in context: http://old.nabble.com/after-PCA%2C-the-pc-values-are-so-large%2C-wrong--tp26240926p26240926.html Sent from the R help mailing list archive at Nabble.com.
2014 Dec 29
6
Samba4 and sssd, keytab file expires?
Hi all. I have the following setup: 1st dc is on CentOS 6 with Sernet samba 4.1.13 2nd dc is on Debian 7 with Sernet samba 4.1.13 The 2 dc work as expected. on CentOS I was able to configure sssd to work on Debian I'm using winbind Now I have a 3rd server which is CentOS 7 with samba 4.1.1 from CentOS repository. This system serves as a file server and works ok with samba, but I have a
2015 Sep 05
0
Considerations for a not so simple set-up ...
...e stored on glusterfs. 5) Fallback passwords for cloud access Concerning 1) and 2) I keep reading that this is possible, but I could not find any concise and current description. I'd welcome pointers to howtos. Concerning 3) this should be a matter of ACL, e.g. a single real user (kerberos pricipal) may have several mail-boxes (virtual users), and groups of real users may share the same mail-box. I have a faint idea, how this could be done in Cyrus (but never did that), but I read that these features should exist in Dovecot as well. But I'm completely lost to even figure out a start...
2015 Jul 10
0
colour palettes in biplot
biplot could benefit from allowing colour palettes, eg. allowing col=list(xcol= xxpal, ycol= yypal) where xxpal and yypal are palettes. For an example, see the robust pricipal components in the principal componetent section of <http://www.statlab.uni-heidelberg.de/data/olive/olive10.pdf> The required change is to replace col[1L] resp. col[2L] by col[1L]] reep. col[[2L]] for example in plot(x, type = "n", xlim = xlim, ylim = ylim, col = col[[1L]], #...
2006 Nov 27
0
kernlab 0.9-0 on CRAN
...ance Vector Machines for regression o specc() : Spectral Clustering o kkmeans() : Kernel k-means clustering o ranking() : Kernel-based ranking method o onlearn() : Kernel-based Online Learning algorithms for classification, novelty detection and regression o kpca() : Kernel Pricipal Components Analysis o kcca() : Kernel Canonical Correlation Analysis o kfa() : Kernel Feature Analysis o sigest() : Hyperparameter estimation for the Gaussian and the Laplacian kernels o inchol() : Incomplete Cholesky decomposition method o csi() : Cholesky decomposition with side infor...
2006 Nov 27
0
kernlab 0.9-0 on CRAN
...ance Vector Machines for regression o specc() : Spectral Clustering o kkmeans() : Kernel k-means clustering o ranking() : Kernel-based ranking method o onlearn() : Kernel-based Online Learning algorithms for classification, novelty detection and regression o kpca() : Kernel Pricipal Components Analysis o kcca() : Kernel Canonical Correlation Analysis o kfa() : Kernel Feature Analysis o sigest() : Hyperparameter estimation for the Gaussian and the Laplacian kernels o inchol() : Incomplete Cholesky decomposition method o csi() : Cholesky decomposition with side infor...
2005 Jul 26
1
multi-path TCP performance
I am measuring the performance of one TCP connection over two symmetric paths. Packets are sent to two paths alternatively. I found that when the latency of each path are within 1ms, the overall TCP throughput is the *sum* of the throughput of the two paths. However, when the latency of the two paths increases to 5ms, the overal TCP throughput drops to the throughput of a *single* path. Has anyone
2016 Dec 30
12
[Bug 2655] New: AuthorizedKeysCommand with large output can deadlock
https://bugzilla.mindrot.org/show_bug.cgi?id=2655 Bug ID: 2655 Summary: AuthorizedKeysCommand with large output can deadlock Product: Portable OpenSSH Version: 7.2p2 Hardware: All OS: Linux Status: NEW Severity: normal Priority: P5 Component: sshd Assignee: unassigned-bugs at
2005 Jul 08
5
Help with Mahalanobis
Dear R list, I'm trying to calculate Mahalanobis distances for 'Species' of 'iris' data as obtained below: Squared Distance to Species From Species: Setosa Versicolor Virginica Setosa 0 89.86419 179.38471 Versicolor 89.86419 0 17.20107 Virginica 179.38471 17.20107 0 These distances were obtained with proc 'CANDISC'