2013
JMLR
JMLR 2013
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. [abs] [ pdf ][ bib ] [ code ] [ webpage ] © JMLR 2013. (edit, beta)
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Keyword Pioneer
— exploratory data analysis
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio