Function kmedoids::pam_build [−][src]
pub fn pam_build<M, N>(mat: &M, k: usize) -> (N, Vec<usize>, Vec<usize>) where
N: NumAssignOps + Signed + Zero + PartialOrd + Copy + SafeAdd + Display,
M: ArrayAdapter<N>,
Implementation of the original PAM BUILD algorithm.
This is provided for academic reasons to see the performance difference. Quality-wise, FasterPAM yields better results than just BUILD.
- type
M
- matrix data type such asndarray::Array2
orkmedoids::arrayadapter::LowerTriangle
- type
N
- number data type such asi32
orf64
(must be signed) mat
- a pairwise distance matrixk
- the number of medoids to pick
returns a tuple containing:
- the initial loss
- the initial cluster assignment
- the initial medoids
Panics
- panics when the dissimilarity matrix is not square
- panics when k is 0 or larger than N
Example
Given a dissimilarity matrix of size 4 x 4, use:
let data = ndarray::arr2(&[[0,1,2,3],[1,0,4,5],[2,4,0,6],[3,5,6,0]]); let (loss, assi, meds) = kmedoids::pam_build(&data, 2); println!("Loss is: {}", loss);