Multi Resolution Analysis of Tiling Arrays. (R package)

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

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.

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.

rMiW: a R package for microscopy-based image analysis workflow

Automated Sound Analysis Pipeline for longitudinal analysis of birdsong development

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

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

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

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.

Development version of the CptNonPar R package

Comparison of kmeans and supercells for image semgentiation in R

K-means as an unsupervised machine learning technique. Customer Segmentation Case.

Identify distinct session shopper profiles and different behaviors

Clustering exercise of ACC basketball players to analyze "positionless basketball".

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