Several clustering approaches based on mathematical programming have been proposed in the literature and were successfully used for small- and medium-scale data sets. However, mathematical programming ...

Machine Learning Course - Coursera. Contribute to RITIK-12/Programming-Assignment-K-Means-Clustering-and-PCA development by creating an account on GitHub.

This is our work in Nankai University Mathematical Modeling Competition in 2023, in which we solved a shared bike scheduling problem through a scheme based on Hierarchical clustering and linear ...

A DC programming to two-level hierarchical clustering with ℓ 1 norm Adugna Fita Gabissa * Legesse Lemecha Obsu Department of Applied Mathematics, Adama Science and Technology University, Adama, ...

But clustering mixed categorical and numeric data is very tricky. This article presents a technique for clustering mixed categorical and numeric data using standard k-means clustering implemented ...

In this study, we propose a MILP-based mathematical model to address the mining cut clustering problem and introduce a modification to the similarity indices developed by Tabesh & Askari-Nasab (2011, ...

This study presents a MILP-based model for the mining cut clustering problem, in addition to a Constraint Programming (CP) approach to solve the proposed model, where the mining cut clustering problem ...