R interface to the ANTs biomedical image processing library

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.

Easy Copy Number !

Development version of the CptNonPar R package

Understand parturition locations from animal movement data

Automated Sound Analysis Pipeline for longitudinal analysis of birdsong development

K-means Clustering Code with Elbow and Cluster Plots

A place for the development version of the changepoint package on CRAN.

Customer Segmentation using RFM Analysis

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

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

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

Multi Resolution Analysis of Tiling Arrays. (R package)

Comparison of kmeans and supercells for image semgentiation in R

Identify distinct session shopper profiles and different behaviors

identify segments of customers by geography using unsupervised learning

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

Inter-rater reliability analysis of eczema segmentation in digital images

Segmentation and Clustering of Single Cell Sequencing Copy Number Profiles

Auto market segments identification with K-means