search for: kcca

...used Agglomerative Nesting (Agnes) to develop 20 clusters. I would like to use the 20 clusters to determine cluster membership for a new dataset (using predict) but cannot find a way to do this (no way to "predict" in the cluster package). I know I can use "predict" in cclust, kcca, and flexclust- but these algorithms do not permit factor data or use a Gower dissimilarity matrix, so are unusable to me. Any suggestions? Thanks in advance, Scott Scott Bearer, Ph.D. Forest Ecologist The Nature Conservancy in Pennsylvania Community Arts Center 220 West Fourth Street, 3rd Fl...

...i - Writing to see if someone can suggest whether a problem warrants a bug report. It concerns the use of stepFlexclust in the flexclust package. The problem concerns the size of clusters returned. Versions: R-2.7.0 on Windows XP; RODBC_1.2-3 code snippet: r8 <- stepFlexclust(df,8,nrep=100,FUN=kcca, family=kccaFamily("kmedians")) summary(r8) ## returns cluster sizes of 51, 115, 218, 73, 118, 140, 311, and 118 trev <- data.frame(r8@cluster) sqlSave(ch, trev, rownames="unitid") in MySQL: select r8cluster, count(*) from trev group by 1 order by 1 ## returns cluster siz...

Hi everybody, I''m using R on a 64-bit Ubuntu 9.04 (Jaunty). I prefer to install R packages from source, even if they are available in Synaptic. The problem is that I can''t install/compile kernlab. Everything works fine until it gets to the lazy loading part: ** preparing package for lazy loading Creating a new generic function for "terms" in "kernlab"

...on 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 information o ipop() : Interior po...

...on 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 information o ipop() : Interior po...