This python package implements k-medoids clustering with PAM and variants of clustering by direct optimization of the (Medoid) Silhouette. It can be used with arbitrary dissimilarites, as it requires ...

In this article we prove two characterizations of the Euclidean ball: (i) the only convex body in ℝ³ such that every normal plane bisects the volume (or surface area) is the Euclidean ball, (ii) the ...

This article explains the concept of cosine similarity and how it is used as a metric for evaluation of data points in various applications. Cosine similarity measures the angle between two vectors to ...

Entrepreneur and hobbyist with interests in personal finance, data science, and cybersecurity. An accessible introduction to ML - no programming or math required. By the end of this tutorial, you’ll ...

Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...