Search Results for author: Michael Aupetit

Found 6 papers, 1 papers with code

Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures

1 code implementation20 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.

Benchmarking Clustering

ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data

no code implementations30 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.

Distortion-Aware Brushing for Interactive Cluster Analysis in Multidimensional Projections

no code implementations17 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.

Aquanims: Area-Preserving Animated Transitions in Statistical Data Graphics based on a Hydraulic Metaphor

no code implementations29 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

Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction

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.

Supervised dimensionality reduction

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