WebPlotViz: Browser Visualization of High Dimensional Streaming Data with HTML5

semanticscholar(2016)

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摘要
Large volumes of high dimensional streaming data are increasingly becoming common place and the ability to project these data into three dimensional space to visually inspect them is an important capability. Algorithms such as Multidimensional Scaling (MDS) and Principal Component analysis (PCA) can be used to reduce high dimensional data into a lower dimensional space. In this paper we present 1. MDS based approach to project high dimensional time series data to 3D with automatic rotation to align successive data segments 2. Open source commodity visualization of three dimensional time series in web browser based on Three.js, and 3. An example based on stock market data.
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