Acc |
Accuracy |
Acc_rnd |
Accuracy of a random model |
Boots_CI |
Confidence Interval using Bootstrap |
BrayCurtis |
Kernels for count data |
centerK |
Centering a kernel matrix |
centerX |
Centering a squared matrix by row or column |
cosNorm |
Cosine normalization of a kernel matrix |
cosnormX |
Cosine normalization of a matrix |
desparsify |
This function deletes those columns and/or rows in a matrix/data.frame that only contain 0s. |
Dirac |
Kernels for categorical variables |
dummy_data |
Convert categorical data to dummies. |
dummy_var |
Levels per factor variable |
estimate_gamma |
Gamma hyperparameter estimation (RBF kernel) |
F1 |
F1 score |
Frobenius |
Frobenius kernel |
frobNorm |
Frobenius normalization |
heatK |
Kernel matrix heatmap |
histK |
Kernel matrix histogram |
Intersect |
Kernels for sets |
Jaccard |
Kernels for sets |
Kendall |
Kendall's tau kernel |
kPCA |
Kernel PCA |
kPCA_arrows |
Plot the original variables' contribution to a PCA plot |
kPCA_imp |
Contributions of the variables to the Principal Components ("loadings") |
KTA |
Kernel-target alignment |
Laplace |
Laplacian kernel |
Linear |
Linear kernel |
minmax |
Minmax normalization |
MKC |
Multiple Kernel (Matrices) Combination |
nmse |
NMSE (Normalized Mean Squared Error) |
Normal_CI |
Confidence Interval using Normal Approximation |
plotImp |
Importance barplot |
Prec |
Precision or PPV |
Procrustes |
Procrustes Analysis |
RBF |
Gaussian RBF (Radial Basis Function) kernel |
Rec |
Recall or Sensitivity or TPR |
Ruzicka |
Kernels for count data |
showdata |
Showdata |
simK |
Kernel matrix similarity |
Spe |
Specificity or TNR |
Spectrum |
Spectrum kernel |
svm_imp |
SVM feature importance |
TSS |
Total Sum Scaling |
vonNeumann |
Von Neumann entropy |