Divvy: Fast and Intuitive Exploratory Data Analysis

被引:0
|
作者
Lewis, Joshua M. [1 ]
de Sa, Virginia R. [1 ]
van der Maaten, Laurens [2 ]
机构
[1] Univ Calif San Diego, Dept Cognit Sci, La Jolla, CA 92093 USA
[2] Delft Univ Technol, Fac Elect Eng Math & Comp Sci, NL-2628 CD Delft, Netherlands
基金
美国国家科学基金会;
关键词
clustering; dimensionality reduction; open source software; human computer interaction; data visualization;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:3159 / 3163
页数:5
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