Description Usage Arguments Value Author(s)
kernel_weights
computes Gaussian kernel weights given a data matrix X
and a scale parameter phi
. Namely,
the lth weight w[l]
is given by
w[l] = exp(-phi ||X[,i]-X[,j]||^2)
, where the lth pair of nodes is (i
,j
).
1 | kernel_weights(X, phi = 1)
|
X |
The data matrix to be clustered. The rows are the features, and the columns are the samples. |
phi |
The nonnegative parameter that controls the scale of kernel weights |
A vector w of weights for convex clustering.
Eric C. Chi, Kenneth Lange
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