Divvy: Fast and Intuitive Exploratory Data Analysis
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 the machine learning field have a greater impact on research practices elsewhere.
Cite
Text
Lewis et al. "Divvy: Fast and Intuitive Exploratory Data Analysis." Machine Learning Open Source Software, 2013.Markdown
[Lewis et al. "Divvy: Fast and Intuitive Exploratory Data Analysis." Machine Learning Open Source Software, 2013.](https://mlanthology.org/mloss/2013/lewis2013jmlr-divvy/)BibTeX
@article{lewis2013jmlr-divvy,
title = {{Divvy: Fast and Intuitive Exploratory Data Analysis}},
author = {Lewis, Joshua M. and de Sa, Virginia R. and van der Maaten, Laurens},
journal = {Machine Learning Open Source Software},
year = {2013},
pages = {3159-3163},
volume = {14},
url = {https://mlanthology.org/mloss/2013/lewis2013jmlr-divvy/}
}