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

Visual Assessment of Clustering Tendency for Finding the Number of Clusters in Datasets

This repository includes the R code used for the project "Investigating robust partitional clustering methods", written by Efthymios Costa. The project is supervised by Dr. Ioanna Papatsouma (Imperial College London) and co-supervised by Professor Alastair Young (Imperial College London).

A tool for tidying up date/timestamp ranges

R code to determine the fraction of individual PCBs in 24-well plate setup experiments. This code is part of Project 2 of the ISRP (https://iowasuperfund.uiowa.edu/).

Outlier Detection Using Cluster Analysis

R code to determine the fraction of individual PCBs in 24-well plate setup experiments. This code is part of Project 1 of the ISRP (https://iowasuperfund.uiowa.edu/).

This code is part of my doctoral research. It's oracle experimentation of Bell Partitions using the CLUS framework.

This code generate partitions for a multilabel dataset using the Jaccard Index similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.

A self-learning stab at replicating the famous Louvain graph partitioning algorithm in R

Simple shiny widget to filter a D3 network by node groups interactively

Test the best hybrid partition generated by hierarchical comunity detection methods and k-NN sparsification

pspm: R package to estimate Probabilistic Spatial Partition Models