1 code implementation • 20 Sep 2022 • Hyeon Jeon, Michael Aupetit, Donghwa Shin, Aeri Cho, SeokHyeon Park, Jinwook Seo
We then propose processes to generalize internal measures to fulfill these new axioms, and use them to extend the widely used Calinski-Harabasz index for between-dataset CLM evaluation.
no code implementations • 30 Jan 2022 • Michael Aupetit, Ahmed Ali
In multiclass classification of multidimensional data, the user wants to build a model of the classes to predict the label of unseen data.
no code implementations • 17 Jan 2022 • Hyeon Jeon, Michael Aupetit, Soohyun Lee, Hyung-Kwon Ko, Youngtaek Kim, Jinwook Seo
Brushing is an everyday interaction in 2D scatterplots, which allows users to select and filter data points within a continuous, enclosed region and conduct further analysis on the points.
no code implementations • 29 Jan 2021 • Michael Aupetit
We present various aquanims for product plots like bar charts and histograms to accommodate changes in data, in the ordering of bars or in a number of bins, and to provide animated tips.
Human-Computer Interaction I.3.3
no code implementations • NeurIPS 2020 • Benoît Colange, Jaakko Peltonen, Michael Aupetit, Denys Dutykh, Sylvain Lespinats
Nonlinear dimensionality reduction of high-dimensional data is challenging as the low-dimensional embedding will necessarily contain distortions, and it can be hard to determine which distortions are the most important to avoid.
no code implementations • NeurIPS Workshop TDA_and_Beyond 2020 • Nello Blaser, Michael Aupetit
Various topological models of multi-dimensional data have been proposed for different applications.