This paper deals with a clustering problem where feature vectors are clustered depending on the angle between feature vectors, that is, feature vectors are grouped together if they point roughly in ...

TITLE: An Elementary Approach to the Vehicle Routing Problem via Python and Google API AUTHORS: Kai Q. Lian, Gareth A. Tribello KEYWORDS: Vehicle Routing Problem (VRP), Google Maps Distance Matrix API ...

Tasnif is a Python package designed for clustering images into user-defined classes based on their visual content. It utilizes deep learning to generate image embeddings, Principal Component Analysis ...

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

By using the hierarchical clustering of the statistical distance matrix, the image pixels can be separated into several clusters that are geometrically arranged around a center like a Mandala pattern.

Randomly pick the first of k centroids. Pick next k-1 points by selecting points that maximize the minimum distance to all existing cluster centroids: For each point, compute the minimum distance to ...