Get started
140 commits | Last commit ≈ 74 months ago
Ctrl K
Dive
Interactively explore millions of 2D and 3D data points in your browser, without the need to install anything.
3
mentions
1
contributor
Cite this software
What Dive can do for you
- Provides interactive web-visualization of data in 3D/2D for data scientists and scientists.
- One can explore millions of data points interactively
- Has been used in bioinformatics and forensics projects
When a data scientist has a problem like clustering data, a usual starting point is to "embed" and "see" the data in 3D or 2D. Ideally she would like to explore data interactively, by being able to search or color the data based on provided metadata. As scientific datasets tend to become larger, current visualization tools are facing scalability issues. Dive is made to provide interactive exploration of (embedded) data in 3D or 2D for million of points.
Keywords
Programming languages
License
- GPL-2.0
</>Source code
Participating organisations
Mentions
Journal articles
2- 1.Clustering image noise patterns by embedding and visualization for common source camera detectionAuthor(s): Sonja Georgievska, Rena Bakhshi, Anand Gavai, Alessio Sclocco, Ben van WerkhovenPublished in Digital Investigation by Elsevier BV in 2017, page: 22-3010.1016/j.diin.2017.08.005
- 2.fMLC: fast multi-level clustering and visualization of large molecular datasetsAuthor(s): D Vu, S Georgievska, S Szoke, A Kuzniar, V RobertPublished in Bioinformatics by Oxford University Press (OUP) in 2017, page: 1577-157910.1093/bioinformatics/btx810
Contributors
Contact person
Sonja Georgievska
Netherlands eScience Center
Related projects
Massive Biological Data Clustering, Reporting and Visualization Tools
Sequence validation in the DNA barcoding project
Updated 12 months ago
Finished
A Jungle Computing Approach to Large-Scale Online Forensic Analysis
Programming tools that simplify application development and deployment
Updated 13 months ago
Finished