Name
Abstract | ||
|---|---|---|
Divvy is an application for applying unsupervised machine learning techniques (clustering and dimensionality reduction) to the data analysis process. Divvy provides a novel UI that allows researchers to tighten the action-perception loop of changing algorithm parameters and seeing a visualization of the result. Machine learning researchers can use Divvy to publish easy to use reference implementations of their algorithms, which helps themachine learning field have a greater impact on research practices elsewhere. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.5555/2567709.2567763 | Journal of Machine Learning Research |
Keywords | Field | DocType |
action-perception loop,research practice,unsupervised machine,greater impact,dimensionality reduction,intuitive exploratory data analysis,data analysis process,novel ui,algorithm parameter,reference implementation,data visualization,human computer interaction,clustering | Publication,Data mining,Data visualization,Dimensionality reduction,Visualization,Computer science,Implementation,Unsupervised learning,Artificial intelligence,Exploratory data analysis,Cluster analysis,Machine learning | Journal |
Volume | Issue | ISSN |
14 | Issue-in-Progress | 1532-4435 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joshua M. Lewis | 1 | 53 | 4.71 |
| Virginia R. De Sa | 2 | 184 | 23.23 |
| van der maaten | 3 | 763 | 48.75 |