![[VIS18 Preview] An Interactive Tool for Feature Analysis of Outliers in Multi-Dimensional Data (Poster) from scatter graph analysis Video Screenshot Preview](https://cdn4.hifimov.co/picture/original/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol83ZwLkAmV0ZmNgLzSyAGp3AwH0AzSzLJV0MwEvAQNmBQtlMQV5ZzD0ZQL-ZGp5LGt3AJRjBGSzAJDjBGL0LGtjA_L1AwMzMGEwMF1xKmVjZUtkAGNcXltbFTyTnH1iqv5wolysAmV_ZGplAQZjYJWuMGH3AmL1AQMuMzSvATL0LwDjZmt-ZzDlBGWxAQN_BQR3BJR-AmIuZQxkMwIxZQx_ATR-ZQqzAGL_MzH0L_HgMP0lZQO-ZGHj/(HiFiMov.co)_vis18-preview-an-interactive-tool-for-feature-analysis-of-outliers-in-multi-dimensional-data-poster.jpg "[VIS18 Preview] An Interactive Tool for Feature Analysis of Outliers in Multi-Dimensional Data (Poster) from scatter graph analysis Video Screenshot Preview")
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⏲ Duration: 30 sec
✓ Published: 17-Sep-2018
✓ Published: 17-Sep-2018
Description:
Poster nnAuthors: Kentaro Asai - Tsukasa Fukusato - Takeo IgarashinnAbstract: This paper presents an interactive visualization tool for the analysis of outliers in multi-dimensional data. Each data sample consists of multiple variables (features). For a given outlier data sample, our tool helps the user to identify which variable of the data sample makes it an outlier. Our tool consists of a scatter plot view and variable relation graph view. The user first identifies an outlier data sample in a
Poster nnAuthors: Kentaro Asai - Tsukasa Fukusato - Takeo IgarashinnAbstract: This paper presents an interactive visualization tool for the analysis of outliers in multi-dimensional data. Each data sample consists of multiple variables (features). For a given outlier data sample, our tool helps the user to identify which variable of the data sample makes it an outlier. Our tool consists of a scatter plot view and variable relation graph view. The user first identifies an outlier data sample in a
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