This repository contains supplementary materials for our study on Large Vision Language Models (LVLMs) and their effectiveness in evaluating data visualizations. The dataset includes student-created v

Figshare2025-03-20 更新30

Datasets and code for ClustMe and ClustML visual quality measures of grouping patterns in monochrome scatterplots

可视化质量评估

散点图聚类分析

Code and datasets S1 and S2 used in the paper ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns. Computer Graphics Forum 38(3): 225-236 (2019) and to appe

NIAID Data Ecosystem00

Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"

平行集可视化

可视化质量评估

This is the replication data for our research article "ParSetgnostics: Quality Metrics for Parallel Sets." It contains the datasets used to obtain optimized Parallel Sets visualizations. We used the f

DaRUS2024-09-05 更新00

Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"

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