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.


Nonlinear machine learning tool for classification, clustering and dimensionality reduction. It integrates 13 conditional negative definite (CND) kernel functions and includes the qKernel and CND kernel version of Density-based spatial clustering of applications with noise (DBSCAN), Spectral Clustering, generalized discriminant analysis (GDA), Principal component analysis (PCA), Isomap and LLE algorithm, Sammon and tSNE.

Examples

install.packages("qkerntool") library(qkerntool)

News


Changes in version 1.18


NEW FEATURES o add a new argument "cndkernel" in the function "qsammon", when the class of "x" is "cndkernmatrix" o add a new argument "qkernel" in the function "qsammon", when the class of "x" is "qkernmatrix"

FIXES o fixed error in the function "qsammon": in feature space, we should use the square root of qkernmatrix instead of Euclidean distance o fixed error messages which the function "qsammon" prints. The position of these two messages ("Warning : MaxHalves exceeded." and "Optimisation terminated - TolFun exceeded.") should be exchanged


Reference manual

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install.packages("qkerntool")

1.19 by Yusen Zhang, 10 days ago


Browse source code at https://github.com/cran/qkerntool


Authors: Yusen Zhang [aut, cre] , Daolin Pang [ctb] , Jinghao Wang [ctb] , Jialin Zhang [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, class, graphics, methods


See at CRAN