SETDiR: Scalable Extensible Toolkit for Dimensionality Reduction

This is the home page of SETDiR, the Scalable Extensible Toolkit for Dimensionality Reduction. SETDiR is a parallel software framework for applying various Linear and Non-Linear dimensionality reduction (DR) techniques on a given set of high-dimensional data. Its current areas of application include (but are not limited to):

  1. Material Science Data: property-structure-process relationships
  2. Uncertainty Analysis: Generation of stochastic reduced order models.

SETDiR has a user-friendly interface which allows users to run these DR techniques with various different options in a very easy manner and also makes the pre and post processing of the data easier.

The current version of SETDiR is 1.7.04, is released in January, 2010. The software is currently a serial version which works on both Windows and Linux machines while the distributed and shared memory versions are currently under testing.


The work was partly supported by the National Science Foundation (NSF) under the following contracts:

  1. CCF-0917202: CDI-Type II: Dimensionality-Reduction and Reconstruction Tools for Atom Probe Tomography
  2. PHY-0941576: AF: Small: Parallel Methods for Large, Atomic-scale Quantitative Analysis of Materials