PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets

PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize clusters while avoiding overlap in locally dense point sets on maps. Because a full evaluation of density functions is prohibitively expensive, we also propose an efficient approximation, Fast-PixelMap, based on a synthesis of the quadtree and gridfile data structures.

• Type: Conference
• Year: 2003
• Where: ICDM
• Authors: Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
• Keywords: Data Mining, ICDM 2003, Large Spatial Datasets, Pixel-oriented Displays, Pixel-oriented Visual Data