An optimised implementation of the tau statistic (relative prevalence ratio form), originally from R's IDSpatialStats package.
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Updated
Sep 25, 2019 - C++
An optimised implementation of the tau statistic (relative prevalence ratio form), originally from R's IDSpatialStats package.
An exploration of cervical cancer risk data using Principle Component Analysis (PCA) and clustering algorithms
Machine Learning Projects
Document Clustering. Used K-Means algorithm to classify documents in categories and KNN algorithm to classify unknown documents.
Uses K-Means unsupervised machine learning algorithm and Principal Component Analysis to cluster cryptocurrencies based on performance in selected periods.
This is the 6th and final (capstone) project of Udacity's Predictive Analytics Nanodegree
A repository of all my projects in R.
Text Clustering for Natural Languages
How to use clustering to understand a city and make suggestions on where to go for food / coffee / amusement etc.
In this project, short document clustering algorithms for English language.
A personal project to explore Quarto functionality in R. I love💖
Segmentation of the Statistics Canada’s Set of Proximity Measures – A Clustering Algorithm Approach. UBC MDS capstone project for Statistics Canada.
Visual Assessment of Clustering Tendency for Finding the Number of Clusters in Datasets
This is my 6th semester Essentials of Data Analytics project.
Identify Archetypes among Genshin Impact Players
Build a clustering model to study driver behaviors and lifetime value.
Code for running various online constrained clustering methods with different parameter combinations.
This is a Clustering analysis on mall customers
Simplifying Seurat data processing, clustering, and analysis
Cluster Analysis and Feature Selection to determine which eating habits or daily activities most affect the classification of obesity levels.
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