A Framework for Interactive Exploration of Clusters in Massive Data using 3D Scatter Plots and WebGL – Web3D 2020
Configuration Presets
Presets
Apply
Data Source
Dataset
Load
Loading
Text
Text
Custom dataset source
Choose custom dataset
Select
No file selected
Specify data URL
URL
User
Password
Delimiter
Header
File includes header row
Load custom dataset
Load
Text
Text
Position
Data mapping
X axis
Y axis
Z axis
Clusters
Run clustering algorithms
Run
Text
Text
Cluster visualization settings
Algorithm
Size
Scale
Point size
Variable point size strength
Column for variable point size
Color
Color mode
Mapping for position-based color
Column for per-point color
About
Poster published at
Web3D 2020
Contact:
Mail
Browser Support
Requires WebGL2 support!
Google Chrome
Rendering and styling work
Tested on Windows and Linux
Mozilla Firefox
Rendering works
Slider style broken, but functional
Tested on Windows and Linux
Acknowledgements
Built using
webgl-operate
Uses icons from
Font Awesome