Description Usage Arguments Details Value Author(s) See Also Examples
cndkernmatrix
calculates the kernel matrix K_{ij} = k(x_i,x_j) or K_{ij} =
k(x_i,y_j).
1 2 | ## S4 method for signature 'cndkernel'
cndkernmatrix(cndkernel, x, y = NULL)
|
cndkernel |
the cndkernel function to be used to calculate the CND kernel
matrix.
This has to be a function of class |
x |
a data matrix to be used to calculate the kernel matrix. |
y |
second data matrix to calculate the kernel matrix. |
Common functions used during kernel based computations.
The cndkernel
parameter can be set to any function, of class
cndkernel, which computes the kernel function value in feature space between two
vector arguments. qkerntool provides more than 10 CND kernel functions
which can be initialized by using the following
functions:
nonlcnd
Non Linear cndkernel function
polycnd
Polynomial cndkernel function
rbfcnd
Gaussian cndkernel function
laplcnd
Laplacian cndkernel function
anocnd
ANOVA cndkernel function
raticnd
Rational Quadratic cndkernel function
multcnd
Multiquadric cndkernel function
invcnd
Inverse Multiquadric cndkernel function
wavcnd
Wave cndkernel function
powcnd
d cndkernel function
logcnd
Log cndkernel function
caucnd
Cauchy cndkernel function
chicnd
Chi-Square cndkernel function
studcnd
Generalized T-Student cndkernel function
(see example.)
cndkernmatrix
returns a conditionally negative definite matrix with a zero diagonal element.
Yusen Zhang
yusenzhang@126.com
nonlbase
, rbfbase
,
laplbase
, ratibase
, multbase
, invbase
,
wavbase
, powbase
, logbase
, caubase
,
chibase
, studbase
1 2 3 4 5 6 7 8 9 10 |
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