flexcluster 0.0.4

flexible clustering algorithm that allows user-define dissimilarity an centroid calculation

flexcluster

flexcluster is a python package that provides a flexible implementation for clustering algorithms based on K-means.

The package provides a generic clustering function that allows customization with callback parameters:

• dissimilarity function - function(datapoint1, datapoint2) : int - function that defines the distance between 2 data points.
• centroid calculation function - function(datapoints : np.array) : datapoint - function that calculates a centroid given an array of datapoints.

centroids, centroid_labels = clustering(
            data, <--------------------------------- array of elements
            k=3, <---------------------------------- number of clusters
            dissimilarity_fn=dissimilarity_fn, <---- dissimilarity function
            centroid_calc_fn=centroid_calc_fn, <---- centroid calculation function
            max_tries=5) <-------------------------- number of clustering tries (get best result)
            
centroids => calculated centroids per cluster
centroid_labels => map with a numeric key for each cluster and value is an array of item indexes

Kmeans and kmedoids are also provided in this package as shortcuts to specific cluster configuration.

centroids, centroid_labels = kmeans(data, k=3)

centroids, centroid_labels = kmedoids(data, k=3)