Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

k-modes and k-prototypes clustering algorithms implementation in Go

Classifying bank transactions with unsupervised k-prototypes clustering.

Segmenting High profile doctors for Pharma company for maximising returns.

K-Prototypes with Differential Privacy

Asal Ikut Team (Clustering Mahasiswa Untuk Evaluasi Kinerja Perguruan Tinggi Menggunakan Algoritma KModes dan K-Prototypes)

A machine learning project to predict Customers/Clients into correct segment to provide promotional information or for product advertising.

Use case of K-prototypes algorithm for Customer Clustering.

K-Prototype Clustering on Blood Transfusion Dataset

k-prototypes for numerical and categorical clustering

Cluster Analysis using K-Protopytes (on categorical variables) and Hierarchical Clustering uppon K-Medoids (on numeric variables) for Marketing Campaigns

Generating synthetic clusters to illustrate simple k-means and k-prototypes clustering

R-implementation of clustering using mixed-type data (continous and discrete)

Machine Learning Model For Customer Segmentation Using Algorithm K-Prototypes.

Developed a Customer Segmentation for a fictional insurance company by using several clustering algorithms. Project done for Data Mining course of Data Science Ms

Unsupervised Learning-based analysis on voter abstention data from Brazilian elections. Using clustering techniques, we aim to identify behavioral patterns in abstention reasons across demographic and regional variables.

Built an unsupervised clustering model using K-Prototypes clustering and anomaly detection algorithms to discover patterns in the dataset containing 13000+ projects.

A Python project where I've applied some unsupervised learning techniques (clustering) to find similar products in an ecommerce dataset.

Analyze past orders and create innovative features to build a customer's segmentation.