AMADA-Analysis of Multidimensional Astronomical Datasets

TL;DR

AMADA is an interactive web tool designed for analyzing multidimensional astronomical datasets through clustering, correlation analysis, and principal components analysis, providing visual diagnostics to facilitate exploratory data analysis.

Contribution

This paper introduces AMADA, a new R-based web application that simplifies multidimensional data analysis with interactive visualizations and multiple analytical methods for astronomical datasets.

Findings

Provides hierarchical clustering and correlation analysis options.

Includes visualization tools like heatmaps, dendrograms, and polar plots.

Offers both standard and robust principal components analysis.

Abstract

We present AMADA, an interactive web application to analyse multidimensional datasets. The user uploads a simple ASCII file and AMADA performs a number of exploratory analysis together with contemporary visualizations diagnostics. The package performs a hierarchical clustering in the parameter space, and the user can choose among linear, monotonic or non-linear correlation analysis. AMADA provides a number of clustering visualization diagnostics such as heatmaps, dendrograms, chord diagrams, and graphs. In addition, AMADA has the option to run a standard or robust principal components analysis, displaying the results as polar bar plots. The code is written in R and the web interface was created using the Shiny framework. AMADA source-code is freely available at https://goo.gl/KeSPue, and the shiny-app at http://goo.gl/UTnU7I.