k-prototypes for numerical and categorical clustering
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Updated
Mar 30, 2024 - Jupyter Notebook
k-prototypes for numerical and categorical clustering
Use case of K-prototypes algorithm for Customer Clustering.
K-Prototype Clustering on Blood Transfusion Dataset
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
Built an unsupervised clustering model using K-Prototypes clustering and anomaly detection algorithms to discover patterns in the dataset containing 13000+ projects.
Analyze past orders and create innovative features to build a customer's segmentation.
Cluster Analysis using K-Protopytes (on categorical variables) and Hierarchical Clustering uppon K-Medoids (on numeric variables) for Marketing Campaigns
A machine learning project to predict Customers/Clients into correct segment to provide promotional information or for product advertising.
Asal Ikut Team (Clustering Mahasiswa Untuk Evaluasi Kinerja Perguruan Tinggi Menggunakan Algoritma KModes dan K-Prototypes)
Classifying bank transactions with unsupervised k-prototypes clustering.
K-Prototypes with Differential Privacy
Segmenting High profile doctors for Pharma company for maximising returns.
k-modes and k-prototypes clustering algorithms implementation in Go
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
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