Unveiling High-dimensional Backstage

A Survey for Reliable Visual Analytics with Dimensionality Reduction

Cluster-Label Matching

Measuring the Validity of Clustering Validation Datasets

Dataset-Adaptive Dimensionality Reduction

Dataset-Adaptive Dimensionality Reduction for Reliable and Efficient Visual Analytics

UMATO

Uniform Manifold Approximation with Two-phase Optimization

Distortion-Aware Brushing

Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional Projections

ClusterSense

Explainable Nonlinear Dimensionality Reduction with Feature-Driven Interaction

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input

PhenoFlow

A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets

ZADU

A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings

Classes are not Clusters

Improving Label-based Evaluation of Dimensionality Reduction

Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works

A qualitative study to understand the use of large-scale text-to-image models for visual artists' creative works

CLAMS

A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering

Steadiness & Cohesiveness

Quality Metrics for Evaluating the Inter-cluster Reliability of Multidimensional Projections

Githru

Visual Analytics for Understanding Software Development History Through Git Metadata Analysis