Active Pattern Classification for Automatic Visual Exploration of Multi-Dimensional Data

Active Pattern Classification for Automatic Visual Exploration of Multi-Dimensional Data

The practice of applying a classifier (called a pattern classifier and abbreviated as PC below) in a visual analysis system to identify patterns from interactively generated visualizations is gradually emerging. Demonstrated cases in existing works focus on ideal scenarios where the analyst can dete...

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Bibliographic Details
Main Authors: Jie Li, Huailian Tan, Wentao Huang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
interactive data exploration
automatic visualization
neural network
machine learning
active learning
visual analytics
Online Access:https://www.mdpi.com/2076-3417/12/22/11386

Internet

https://www.mdpi.com/2076-3417/12/22/11386

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