Calcium imaging pipeline for R

This project segments 10,000 cable TV subscriber households based on spending for video, internet, and phone services. Using K-means clustering, I identified high-, mid-, and low-value segments to guide personalized marketing, optimize retention, increase revenue, and reveal service preferences and upselling opportunities.

Multi Resolution Analysis of Tiling Arrays. (R package)

Chromosome Conformation Capture on Chip (4C): Data Processing. (Workflow/Scripts)

Segmentation and Clustering of Single Cell Sequencing Copy Number Profiles

Auto market segments identification with K-means

This case requires trainees to develop a customer segmentation to define marketing strategy. The sample dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral variables.

This repo contains works on various academic projects using real-life data for modelling and prediction

Using the mtcars and cnbc dataset, I'm exploring the hierarchical clustering technique.

Segmentation of the Statistics Canada’s Set of Proximity Measures – A Clustering Algorithm Approach. UBC MDS capstone project for Statistics Canada.

Customer Segmentation to provide the offers based on the RFM Analysis.

ClusterCarac helps you understand what makes each group in your data unique, whether the groups come from clustering methods or from existing categories like age, region, or customer type.

Automated Sound Analysis Pipeline for longitudinal analysis of birdsong development

Modul latihan R untuk Customer Segmentation dari DQLAB yang sudah saya kerjakan.

My attempts at computer vision using data from the DeepFish dataset - help wanted

A repository for supplementary considerations required to run certain stroke segmentation algorithms

This project demonstrates how to use the "Partitioning Around Medoids" (PAM) technique to create clusters

Identify distinct session shopper profiles and different behaviors

identify segments of customers by geography using unsupervised learning

K-means Clustering Code with Elbow and Cluster Plots