This repository contains the code and data for a customer ... of clusters using the Within Clusters Sum of Squares (WCSS) method. The following steps were taken: Training the K-Means Clustering Model: ...

This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The dataset contains information about customers such as their age, gender, annual ...

One of the methods organizations adopt, is customer clustering ... One of the techniques widely used in this task is RFM based clustering using K-Means clustering algorithm. The clusters obtained by ...

Abstract: This paper proposes the UML modeling approach to facilitate the software engineers in order to implement the cryptographic PPkDC (Privacy Preserving k-means ...