K-Medoids

K-Medoids is a clustering algorithm. Partitioning Around Medoids (PAM) algorithm is one such implementation of K-Medoids

Prerequisites

• Scipy
• Numpy

Getting Started

from KMedoids import KMedoids

Parameters

• n_cluster: number of clusters
• max_iter: maximum number of iterations
• tol: tolerance level

Example

Wiki Example

data = [[2, 6], [3, 4], [3, 8], [4, 7], [6, 2], [6, 4], [7, 3], [7, 4], [8, 5], [7, 6]]
k_medoids = KMedoids(n_cluster=2)
k_medoids.fit(data)