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

k-prototypes for numerical and categorical clustering

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

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

Use case of K-prototypes algorithm for Customer Clustering.

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.

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

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

K-Prototype Clustering on Blood Transfusion Dataset

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

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

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

K-Prototypes with Differential Privacy

Classifying bank transactions with unsupervised k-prototypes clustering.

Segmenting High profile doctors for Pharma company for maximising returns.