Visual Data Mining In Atmospheric Science Data
作者： Márcia Macêdo , Dianne Cook , Timothy J. Brown
关键词: Exploratory data analysis 、 Data visualization 、 Statistical graphics 、 Clustering high-dimensional data 、 Visual approach 、 SIMPLE (military communications protocol) 、 Data science 、 Interactive visual analysis 、 Computer science 、 Data mining 、 Data set
摘要: This paper discusses the use of simple visual tools to explore multivariate spatially-referenced data. It describes interactive approaches such as linked brushing, and dynamic methods grand tour, applied studying Comprehensive Ocean-Atmosphere Data Set (COADS). approach provides an alternative way gain understanding high-dimensional also cross-validation adjuncts more computationally intensive data mining techniques.
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