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A scalable parallel FEM surface fitting algorithm for data mining

Christen, Peter; Hegland, Markus; Roberts, Stephen; Altas, Irfan

Description

The development of automatic techniques to process and detect patterns in very large data sets is a major task in data mining. An essential subtask is the interpolation of surfaces, which can be done with multivariate regression. Thin plate splines provide a very good method to determine an approximating surface. Unfortunately, obtaining standard thin plate splines requires the solution of a dense linear system of order n, where n is the number of observations. Thus, standard thin plate splines...[Show more]

CollectionsANU Research Publications
Date published: 2001
Type: Working/Technical Paper
URI: http://hdl.handle.net/1885/40729
http://digitalcollections.anu.edu.au/handle/1885/40729

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