181 citations · 293 across the 11 of their papers we have counts for
11 papers
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering
Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee +3
Visual clustering is a common perceptual task in scatterplots that supports diverse analytics tasks (e.g., cluster identification). However, even with the same scatterplot, the way…
ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
Hyeon Jeon, Aeri Cho, Jinhwa Jang +5
Dimensionality reduction (DR) techniques inherently distort the original structure of input high-dimensional data, producing imperfect low-dimensional embeddings. Diverse distortio…
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…
Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works
Hyung-Kwon Ko, Gwanmo Park, Hyeon Jeon +3
Large-scale Text-to-image Generation Models (LTGMs) (e.g., DALL-E), self-supervised deep learning models trained on a huge dataset, have demonstrated the capacity for generating hi…
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…
Uniform Manifold Approximation with Two-phase Optimization
Hyeon Jeon, Hyung-Kwon Ko, Soohyun Lee +2
We introduce Uniform Manifold Approximation with Two-phase Optimization (UMATO), a dimensionality reduction (DR) technique that improves UMAP to capture the global structure of hig…
Distortion-Aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
Hyeon Jeon, Michaël Aupetit, Soohyun Lee +4
Brushing is a common interaction technique in 2D scatterplots, allowing users to select clustered points within a continuous, enclosed region for further analysis or filtering. How…
Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections
Hyeon Jeon, Hyung-Kwon Ko, Jaemin Jo +2
We propose Steadiness and Cohesiveness, two novel metrics to measure the inter-cluster reliability of multidimensional projection (MDP), specifically how well the inter-cluster str…
Interactive Visualization for Exploring Information Fragments in Software Repositories
Youngtaek Kim, Hyeon Jeon, Kiroong Choe +3
Software developers explore and inspect software repository data to obtain detailed information archived in the development history. However, developers who are not acquainted with…
Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis
Youngtaek Kim, Jaeyoung Kim, Hyeon Jeon +4
Git metadata contains rich information for developers to understand the overall context of a large software development project. Thus it can help new developers, managers, and test…
Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions
Sehi L'Yi, Jaemin Jo, Jinwook Seo
We present a systematic review on three comparative layouts (i.e., juxtaposition, superposition, and explicit-encoding) which are information visualization (InfoVis) layouts design…