David Pérez Román

David Pérez Román

Mechatronics Engineer with a Master in Artificial Intelligence Research and 3+ Years of experience in professional Python development.

Anomaly Detection for a Spine Deviation dataset

For this project I did an Anomaly Detection Study using the R programming language for a commonly used dataset in the literature, tailored for Anomaly Detection tasks.

The dataset used is the Vertebral Column Dataset from the UCI Machine Learning Repository, which was modified for outlier detection, obtained from ODDS (Outlier Detection DataSets).

Throughout the study, several outliers were found using different approaches:

  • IQR Method

  • LOF Method

  • Clustering-based methods

Everything is implemented in an R Notebook file (.Rmd) in my repository: AnomalyDetectionSpineDeviation.

Also, a full report was written (in Spanish) using the R Notebook itself and then knitted into an HTML file. The full report can be read in the Repository GitHub Pages, or here.