Level Set Trees with Enhanced Marginal Density Visualization

Kyösti Karttunen, Lasse Holmström, Jussi Klemelä

2014

Abstract

We study level set tree methods to analyze and visualize multivariate data. The probability density function of the underlying distribution is estimated using a kernel density estimator, and the density estimate is visualized using level set trees. These trees can be used to analyze the mode structure of a function. We show how level set trees can be used to enhance more traditional density function visualization tools, like marginal densities and slices of the density. The method is applied to flow cytometry data.

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Paper Citation


in Harvard Style

Karttunen K., Holmström L. and Klemelä J. (2014). Level Set Trees with Enhanced Marginal Density Visualization . In Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014) ISBN 978-989-758-005-5, pages 210-217. DOI: 10.5220/0004844302100217


in Bibtex Style

@conference{ivapp14,
author={Kyösti Karttunen and Lasse Holmström and Jussi Klemelä},
title={Level Set Trees with Enhanced Marginal Density Visualization},
booktitle={Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)},
year={2014},
pages={210-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004844302100217},
isbn={978-989-758-005-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)
TI - Level Set Trees with Enhanced Marginal Density Visualization
SN - 978-989-758-005-5
AU - Karttunen K.
AU - Holmström L.
AU - Klemelä J.
PY - 2014
SP - 210
EP - 217
DO - 10.5220/0004844302100217