39 citations · 62 across the 12 of their papers we have counts for
13 papers
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction
Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit +2
A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated clusters in the embedd…
Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures
Hyeon Jeon, Michael Aupetit, DongHwa Shin +3
We address the lack of reliability in benchmarking clustering techniques based on labeled datasets. A standard scheme in external clustering validation is to use class labels as gr…
ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data
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. The model is trained on the data and test…
ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings
Mostafa M. Abbas, Ehsan Ullah, Abdelkader Baggag +3
Visual quality measures (VQMs) are designed to support analysts by automatically detecting and quantifying patterns in visualizations. We propose a new VQM for visual grouping patt…
Aquanims: Area-Preserving Animated Transitions in Statistical Data Graphics based on a Hydraulic Metaphor
Michael Aupetit
We propose "aquanims" as new design metaphors for animated transitions that preserve displayed areas during the transformation. Animated transitions are used to facilitate understa…
An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data
Ali Sheharyar, Talar Boghos Yacoubian, Dina Aljogol +3
MA plots are used to analyze the genome-wide differences in gene expression between two distinct biological conditions. An MA plot is usually rendered as a static scatter plot. Our…