InVis: A Tool for Interactive Visual Data Analysis
Abstract
We present InVis , a tool to visually analyse data by interactively shaping a two dimensional embedding of it. Traditionally, embedding techniques focus on finding one fixed embedding, which emphasizes a single aspects of the data. In contrast, our application enables the user to explore the structures of a dataset by observing and controlling a projection of it. Ultimately it provides a way to search and find an embedding, emphasizing aspects that the user desires to highlight.
Cite
Text
Paurat and Gärtner. "InVis: A Tool for Interactive Visual Data Analysis." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013. doi:10.1007/978-3-642-40994-3_52Markdown
[Paurat and Gärtner. "InVis: A Tool for Interactive Visual Data Analysis." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013.](https://mlanthology.org/ecmlpkdd/2013/paurat2013ecmlpkdd-invis/) doi:10.1007/978-3-642-40994-3_52BibTeX
@inproceedings{paurat2013ecmlpkdd-invis,
title = {{InVis: A Tool for Interactive Visual Data Analysis}},
author = {Paurat, Daniel and Gärtner, Thomas},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2013},
pages = {672-676},
doi = {10.1007/978-3-642-40994-3_52},
url = {https://mlanthology.org/ecmlpkdd/2013/paurat2013ecmlpkdd-invis/}
}