Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning

Experimental Results, System Demo, Source Code, and Processed Datasets

Experimental Results (Sect. 4)

PDF Document [download]


System Demo (Sect. 5)

Web Application [link]

Video of Interaction Demo [link]


Source Code

The source code will be released upon publication.


Processed Datasets

(a) Wine Recognition [1] [download]

(b) MNIST [2] [download]

(c) Tennis Major Tournament Match Statistics [1] [download]

(d) Nutrients [3] [download]

(e) Communities and Crime [1,4] [download]

References

[1]

D. Dua and C. Graff. UCI machine learning repository. http://archive.ics.uci.edu/ml, 2019.

[2]

Y. LeCun, C. Cortes, and C. J. C. Burges. The MNIST database of handwritten digits. http://yann.lecun.com/exdb/mnist/, 1999.

[3]

The USDA Nutrient Data Laboratory,the Food and Nutrition Information Center, and Information Systems Division of the National Agricultural Library. USDA food composition databases. https://ndb.nal.usda.gov/ndb/, 2018.

[4]

M. Redmond and A. Baveja. A data-driven software tool for enabling cooperative information sharing among police departments. European Journal of Operational Research, 141(3):660–678, 2002.

If you use (a), (c), or (e) for your publication, please follow the citation policy of UCI Machine Learning Repository. (e) has an additional citation request.