factoextra

This project clusters white wines based on their chemical properties to understand their relationship with quality ratings, using techniques like k-means and PCA.

Clustering tutorial in R for UConn's Social-Ecological-Environmental (SEE) Lab

Customer Segmentation using R

This project carried out in R applies PCA for dimensionality reduction and K-Means for clustering on the IRIS dataset. It includes EDA, PCA variance analysis, and cluster evaluation using ggplot2 and factoextra. Additionally, it visualizes the impact of reducing dimensions on clustering.

R script performing Principal Component Analysis (PCA, prcomp/factoextra) for dimensionality reduction of Mariana Trench bathymetric data, with scree, loadings and biplot. Companion to Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

Tutorial code for performing PCA (with mathematical explanation) on breast cancer features computed from digitized images of fine needle aspirate (FNA) of a breast mass. Center the data, calculate correlation matrix, compute principal components, visualize and interpret results.

Clustering to find customer segment of the Boston based ride sharing program Hubway

Project uses K-Means clustering to analyze mall customers based on spending behavior and annual income

Multivariate analysis of the EU automotive and electromobility market (2012-2024). Built with R, it utilizes clustering algorithms (Ward's, k-means), Wrocław taxonomy, and PCA to classify countries based on EV adoption, infrastructure, fleet age, and road safety, revealing a "Three-Speed Europe".

Clustering no supervisado en R con USArrests: comparación de k-means, k-means++ y clustering jerárquico (Ward).

Análisis de pandemia utilizando base de datos .csv

Analyzing key air quality variables with R through visualizations and statistical methods.

Segmentação de clientes com base em análise RFM

R scripts performing k-means (factoextra fviz_cluster, k=3-7) and Gaussian-mixture (mclust, BIC) cluster analysis of Mariana Trench bathymetric profiles. Lemenkova (2019), K-means Clustering in R {cluster}/{factoextra}, Int. J. Informatics and Applied Mathematics 2(1):1-26.

Perform cluster analysis on household electricity consumption data using K-means clustering in R