Automated Sound Analysis Pipeline for longitudinal analysis of birdsong development
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.
Development version of the CptNonPar R package
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.
Understand parturition locations from animal movement data
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
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