cdp: L1 convex clustering with a single lambda.
In dpcc: Dynamic Programming for Convex Clustering

L1 convex clustering with a single lambda.

1	cdp(X, lam)

`X`	a data matrix of n * p or a data vector with length n.
`lam`	a tuning parameter.

A list with length p equal to the dimension of the data matrix. Each dimension includes a vector of the estimated centroids.

the estimated centroids.

# generate a data matrix with n = 10 and p = 2.
X = matrix(rnorm(10*2), 10, 2)
lam = find_lambda(X)/2
# set a tuning parameter lambda.
cdp(X, lam)

dpcc documentation built on June 1, 2021, 9:08 a.m.

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