@inproceedings{ac153f7805ae419282468b44d4b8f300,
title = "Sanity check for class-coloring-based evaluation of dimension reduction techniques",
abstract = "Dimension Reduction techniques used to visualize multidimensional data provide a scatterplot spatialization of data similarities. A widespread way to evaluate the quality of such DR techniques is to use labeled data as a ground truth and to call the reader as a witness to qualify the visualization by looking at classcluster correlations within the scatterplot. We expose the pitfalls of this evaluation process and we propose a principled solution to guide researchers to improve the way they use this visual evaluation of DR techniques.",
keywords = "Dimension reduction, Evaluation, Scatter plots",
author = "Micha{\"e}l Aupetit",
note = "Publisher Copyright: Copyright {\textcopyright} 2014 ACM.; 5th Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization, BELIV 2014 ; Conference date: 10-11-2014",
year = "2014",
month = nov,
day = "10",
doi = "10.1145/2669557.2669578",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "134--141",
editor = "Petra Isenberg and Tobias Isenberg and Michael Sedlmair and Heidi Lam",
booktitle = "Proceedings - Beyond Time and Errors",
address = "United States",
}