Package: qkerntool 1.19
qkerntool: Q-Kernel-Based and Conditionally Negative Definite Kernel-Based Machine Learning Tools
Nonlinear machine learning tool for classification, clustering and dimensionality reduction. It integrates 12 q-kernel functions and 15 conditional negative definite kernel functions and includes the q-kernel and conditional negative definite kernel version of density-based spatial clustering of applications with noise, spectral clustering, generalized discriminant analysis, principal component analysis, multidimensional scaling, locally linear embedding, sammon's mapping and t-Distributed stochastic neighbor embedding.
Authors:
qkerntool_1.19.tar.gz
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qkerntool_1.19.tgz(r-4.4-any)qkerntool_1.19.tgz(r-4.3-any)
qkerntool_1.19.tar.gz(r-4.5-noble)qkerntool_1.19.tar.gz(r-4.4-noble)
qkerntool_1.19.tgz(r-4.4-emscripten)qkerntool_1.19.tgz(r-4.3-emscripten)
qkerntool.pdf |qkerntool.html✨
qkerntool/json (API)
| # Install 'qkerntool' in R: |
| install.packages('qkerntool', repos = c('https://yusenzhang.r-universe.dev', 'https://cloud.r-project.org')) |
- mfeat_pix - Mfeat_pix dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:08debfae49. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:anocndas.cndkernmatrixas.qkernmatrixblkdiagcaubasecaucndchibasechicndclustclust<-cndkernfcndkernf<-cndkernmatrixcndkernmatrix.anokernelcndkernmatrix.caukernelcndkernmatrix.chikernelcndkernmatrix.invkernelcndkernmatrix.laplkernelcndkernmatrix.logkernelcndkernmatrix.multkernelcndkernmatrix.nonlkernelcndkernmatrix.norkernelcndkernmatrix.polykernelcndkernmatrix.powkernelcndkernmatrix.ratikernelcndkernmatrix.rbfkernelcndkernmatrix.studkernelcndkernmatrix.wavkernelconnumconnum<-dimReddimRed<-dimsdims<-epseps<-EucdisteValeVal<-eVeceVec<-funinvbaseinvcndisseedisseed<-kcallkcall<-labellabel<-laplbaselaplcndlogbaselogcndMinPtsMinPts<-multbasemultcndn.actionn.action<-nonlbasenonlcndnorcndpcvpcv<-plotpolycndpowbasepowcndpredictprintprjprj<-qkdbscanqkernmatrixqkernmatrix.cauqkernelqkernmatrix.chiqkernelqkernmatrix.invqkernelqkernmatrix.laplqkernelqkernmatrix.logqkernelqkernmatrix.multqkernelqkernmatrix.nonlqkernelqkernmatrix.powqkernelqkernmatrix.ratiqkernelqkernmatrix.rbfqkernelqkernmatrix.studqkernelqkernmatrix.wavqkernelqkgdaqkIsomapqkLLEqkMDSqkpcaqkspeccqkspeclustqparqpar<-qsammonqtSNEratibaseraticndrbfbaserbfcndResidualsResiduals<-rotatedrotated<-showstudbasestudcndtermsterms<-wavbasewavcndwithinsswithinss<-xmatrixxmatrix<-ymatrixymatrix<-
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assing cndkernmatrix class to matrix objects | as.cndkernmatrix as.cndkernmatrix,matrix-method as.cndkernmatrix-methods cndkernmatrix-class |
| Assing qkernmatrix class to matrix objects | as.qkernmatrix as.qkernmatrix,matrix-method as.qkernmatrix-methods qkernmatrix-class |
| qKernel Functions | bases caubase chibase invbase laplbase logbase multbase nonlbase powbase ratibase rbfbase studbase wavbase |
| Block diagonal concatenation of matrix | blkdiag |
| Class "cndkernel" "nonlkernel" "polykernel" "rbfkernel" "laplkernel" | anokernel-class caukernel-class chikernel-class cndkernel-class invkernel-class laplkernel-class logkernel-class multkernel-class nonlkernel-class norkernel-class polykernel-class powkernel-class qpar,cndkernel-method ratikernel-class rbfkernel-class show,cndkernel-method studkernel-class wavkernel-class |
| CND Kernel Matrix functions | cndkernmatrix cndkernmatrix,anokernel-method cndkernmatrix,caukernel-method cndkernmatrix,chikernel-method cndkernmatrix,cndkernel-method cndkernmatrix,invkernel-method cndkernmatrix,laplkernel-method cndkernmatrix,logkernel-method cndkernmatrix,multkernel-method cndkernmatrix,nonlkernel-method cndkernmatrix,norkernel-method cndkernmatrix,polykernel-method cndkernmatrix,powkernel-method cndkernmatrix,ratikernel-method cndkernmatrix,rbfkernel-method cndkernmatrix,studkernel-method cndkernmatrix,wavkernel-method cndkernmatrix.anokernel cndkernmatrix.caukernel cndkernmatrix.chikernel cndkernmatrix.invkernel cndkernmatrix.laplkernel cndkernmatrix.logkernel cndkernmatrix.multkernel cndkernmatrix.nonlkernel cndkernmatrix.norkernel cndkernmatrix.polykernel cndkernmatrix.powkernel cndkernmatrix.ratikernel cndkernmatrix.rbfkernel cndkernmatrix.studkernel cndkernmatrix.wavkernel |
| CND Kernel Functions | anocnd caucnd chicnd cnds invcnd laplcnd logcnd multcnd nonlcnd norcnd polycnd powcnd raticnd rbfcnd studcnd wavcnd |
| Computes the Euclidean(square Euclidean) distance matrix | Eucdist Eucdist,matrix-method |
| mfeat_pix dataset | mfeat_pix |
| qKernel-DBSCAN density reachability and connectivity clustering | predict,qkdbscan-method print,qkdbscan-method qkdbscan qkdbscan,cndkernmatrix-method qkdbscan,matrix-method qkdbscan,qkernmatrix-method |
| Class "qkdbscan" | clust clust,qkdbscan-method clust<- clust<-,qkdbscan-method eps eps,qkdbscan-method eps<- eps<-,qkdbscan-method isseed isseed,qkdbscan-method isseed<- isseed<-,qkdbscan-method MinPts MinPts,qkdbscan-method MinPts<- MinPts<-,qkdbscan-method plot plot,qkdbscan-method qkdbscan-class |
| Class "qkernel" "rbfqkernel" "nonlqkernel" "laplqkernel" "ratiqkernel" | cauqkernel-class chiqkernel-class input-class invqkernel-class kfunction-class laplqkernel-class logqkernel-class multqkernel-class nonlqkernel-class powqkernel-class qkernel-class qpar,qkernel-method ratiqkernel-class rbfqkernel-class show,qkernel-method studqkernel-class wavqkernel-class |
| qKernel Matrix functions | qkernmatrix qkernmatrix,cauqkernel-method qkernmatrix,chiqkernel-method qkernmatrix,invqkernel-method qkernmatrix,laplqkernel-method qkernmatrix,logqkernel-method qkernmatrix,multqkernel-method qkernmatrix,nonlqkernel-method qkernmatrix,powqkernel-method qkernmatrix,qkernel-method qkernmatrix,ratiqkernel-method qkernmatrix,rbfqkernel-method qkernmatrix,studqkernel-method qkernmatrix,wavqkernel-method qkernmatrix.cauqkernel qkernmatrix.chiqkernel qkernmatrix.invqkernel qkernmatrix.laplqkernel qkernmatrix.logqkernel qkernmatrix.multqkernel qkernmatrix.nonlqkernel qkernmatrix.powqkernel qkernmatrix.ratiqkernel qkernmatrix.rbfqkernel qkernmatrix.studqkernel qkernmatrix.wavqkernel |
| qKernel Generalized Discriminant Analysis | predict,qkgda-method qkgda qkgda,cndkernmatrix-method qkgda,matrix-method qkgda,qkernmatrix-method |
| Class "qkgda" | eVal eVal,qkgda-method eVal<- eVal<-,qkgda-method eVec eVec,qkgda-method eVec<- eVec<-,qkgda-method label label,qkgda-method label<- label<-,qkgda-method prj prj,qkgda-method prj<- prj<-,qkgda-method qkgda-class |
| qKernel Isometric Feature Mapping | qkIsomap qkIsomap,cndkernmatrix-method qkIsomap,matrix-method qkIsomap,qkernmatrix-method |
| qKernel Isomap embedding | connum connum,qkIsomap-method connum<- connum<-,qkIsomap-method dims dims,qkIsomap-method dims<- dims<-,qkIsomap-method eVal,qkIsomap-method eVal<-,qkIsomap-method eVec,qkIsomap-method eVec<-,qkIsomap-method prj,qkIsomap-method prj<-,qkIsomap-method qkIsomap-class Residuals Residuals,qkIsomap-method Residuals<- Residuals<-,qkIsomap-method |
| qKernel Locally Linear Embedding | qkLLE qkLLE,cndkernmatrix-method qkLLE,matrix-method qkLLE,qkernmatrix-method |
| Class "qkLLE" | dims,qkLLE-method dims<-,qkLLE-method eVal,qkLLE-method eVal<-,qkLLE-method eVec,qkLLE-method eVec<-,qkLLE-method prj,qkLLE-method prj<-,qkLLE-method qkLLE-class |
| qKernel Metric Multi-Dimensional Scaling | qkMDS qkMDS,cndkernmatrix-method qkMDS,matrix-method qkMDS,qkernmatrix-method |
| qKernel Metric Multi-Dimensional Scaling | connum,qkMDS-method connum<-,qkMDS-method dims,qkMDS-method dims<-,qkMDS-method eVal,qkMDS-method eVal<-,qkMDS-method eVec,qkMDS-method eVec<-,qkMDS-method prj,qkMDS-method prj<-,qkMDS-method qkMDS-class Residuals,qkMDS-method Residuals<-,qkMDS-method |
| qKernel Principal Components Analysis | predict,qkpca-method qkpca qkpca,cndkernmatrix-method qkpca,formula-method qkpca,matrix-method qkpca,qkernmatrix-method |
| Class "qkpca" | eVal,qkpca-method eVal<-,qkpca-method pcv pcv,qkpca-method pcv<- pcv<-,qkpca-method qkpca-class rotated rotated,qkpca-method rotated<- rotated<-,qkpca-method |
| Class "qkprc" | cndkernf cndkernf,qkprc-method cndkernf<- cndkernf<-,qkprc-method kcall kcall,qkprc-method kcall<- kcall<-,qkprc-method n.action n.action,qkprc-method n.action<- n.action<-,qkprc-method qkprc-class qpar qpar,qkprc-method qpar<- qpar<-,qkprc-method terms terms,qkprc-method terms<- terms<-,qkprc-method xmatrix xmatrix,qkprc-method xmatrix<- xmatrix<-,qkprc-method ymatrix ymatrix,qkprc-method ymatrix<- ymatrix<-,qkprc-method |
| qkernel spectral Clustering | qkspecc qkspecc,cndkernmatrix-method qkspecc,matrix-method qkspecc,qkernmatrix-method show,qkspecc-method |
| Class "qkspecc" | clust,qkspecc-method clust<-,qkspecc-method eVal,qkspecc-method eVal<-,qkspecc-method eVec,qkspecc-method eVec<-,qkspecc-method plot,qkspecc-method qkspecc-class withinss withinss,qkspecc-method withinss<- withinss<-,qkspecc-method |
| qkernel spectral Clustering | qkspeclust qkspeclust,qkspecc-method |
| qKernel Sammon Mapping | qsammon qsammon,cndkernmatrix-method qsammon,matrix-method qsammon,qkernmatrix-method |
| Class "qsammon" | dimRed dimRed,qsammon-method dimRed<- dimRed<-,qsammon-method fun qsammon-class |
| qKernel t-Distributed Stochastic Neighbor Embedding | qtSNE qtSNE,cndkernmatrix-method qtSNE,matrix-method qtSNE,qkernmatrix-method |
| Class "qtSNE" | dimRed,qtSNE-method dimRed<-,qtSNE-method qtSNE-class |
