norm_sq_phi: Represent ||x'(phi)_i-x'(phi)_j||_2^2 as a quadratic function...
In yiqunchen/KmeansInference: Selective inference for k-means clustering
norm_sq_phi R Documentation
Represent ||x'(phi)_i-x'(phi)_j||_2^2 as a quadratic function in phi —-
Description
Represent ||x'(phi)_i-x'(phi)_j||_2^2 as a quadratic function in phi —-
Usage
norm_sq_phi(X, v, XTv, XTv_norm, dir_XTv, v_norm, i, j)
Arguments
v,
the vector
XTv,
vector p by 1
XTv_norm,
norm of XTv
dir_XTv,
vector p by 1 := XTv/XTv_norm
v_norm,
2-norm of vector v
i,
first index
j,
second index
Value
parameters: a, b, c the coefficients of the quadratic equation
such that (ax^2 + bx + c <= 0)
yiqunchen/KmeansInference documentation built on June 4, 2022, 1:20 p.m.
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| norm_sq_phi | R Documentation |
Represent ||x'(phi)_i-x'(phi)_j||_2^2 as a quadratic function in phi —-
Description
Represent ||x'(phi)_i-x'(phi)_j||_2^2 as a quadratic function in phi —-
Usage
norm_sq_phi(X, v, XTv, XTv_norm, dir_XTv, v_norm, i, j)
Arguments
v, |
the vector |
XTv, |
vector p by 1 |
XTv_norm, |
norm of XTv |
dir_XTv, |
vector p by 1 := XTv/XTv_norm |
v_norm, |
2-norm of vector v |
i, |
first index |
j, |
second index |
Value
parameters: a, b, c the coefficients of the quadratic equation such that (ax^2 + bx + c <= 0)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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