By Yee Leung (auth.)
ISBN-10: 364202663X
ISBN-13: 9783642026638
This e-book offers with wisdom discovery and information mining in spatial and temporal info, looking to current novel equipment that may be hired to find spatial constructions and tactics in advanced info. Spatial wisdom discovery is tested throughout the projects of clustering, type, association/relationship, and procedure. one of the coated themes are discovery of spatial constructions as ordinary clusters, id of separation surfaces and extraction of category ideas from statistical and algorithmic views, detecting neighborhood and worldwide points of non-stationarity of spatial institutions and relationships, unraveling scaling behaviors of time sequence information, together with self-similarity, and lengthy variety dependence. specific emphasis is put on the remedy of scale, noise, imperfection and combination distribution. Numerical examples and a large scope of purposes are used through the e-book to confirm the conceptual and theoretical arguments.
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Additional info for Knowledge Discovery in Spatial Data
Sample text
If each blob is equated to a cluster, the above blurring process will generate a hierarchical clustering with resolution being the height of a dendrogram. The blurring process is described by scale space filtering which models the blurring effect of lateral retinal interconnection through the Gaussian filtering of a digital image (Witkin 1983, 1984; Koenderink 1984; Babaud et al. 1986; Hummel and Moniot 1989). The theory in fact sheds light on the way we cluster data, regardless of whether they are digital images or raw data.
2 Values of quantities k, s, a and error of all organisms selected . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 D1 , D2 for every-5-years rainfall data of Gaoyao station . . . . . 4 D1 , D2 for every-5-years rainfall data of Heyuan station . . . . . 5 D1 , D2 for every-5-years rainfall data of Huiyang station . . . . 6 D1 , D2 for every-5-years rainfall data of Lianping station . . . . 7 D1 , D2 of 16 stations using 32 years rainfall data .
28 Comparison of classification accuracies from applying classification reduct B to the training and test tree samples . . . 29 The statistics of 11 benchmark problems used in simulations . . 30 Performance of the vision-based classification method . . . . . 1 Test statistics of the GWR model . . . . . . . . . . . . . . . . . 1 Estimate of p . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Values of quantities k, s, a and error of all organisms selected .
Knowledge Discovery in Spatial Data by Yee Leung (auth.)
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