=============================================== Locally Weighted Scatterplot Smoothing (LOWESS) =============================================== :doc:`/WorkProcessClassifiers/LocalAlgorithm/index` *LOWESS* algorithm smoothes the data based on locally weighted polynomial regression. .. rubric:: Tool Support * :doc:`/Tools/ExcelTool/index` * :doc:`/Tools/MatlabTool/index` For details refer to the online documentation of the function `http://www.mathworks.de/de/help/curvefit/smooth.html `__. * :doc:`/Tools/RTool/index` For details refer to the online documentation of the function `http://stat.ethz.ch/R-manual/R-patched/library/stats/html/loess.html `__. .. rubric:: Single Steps using the Algorithm * :doc:`/DataPreprocessing/DataCleaning/DataDenoising/DataDenoisingWithLOWESS/index` .. rubric:: References - W.S.\ Cleveland, LOWESS: A program for smoothing scatterplots by robust locally weighted regression, The American Statistician, vol. 35 (1), pp. 54, 1981. - W.S.\ Cleveland, Robust Locally Weighted Regression and Smoothing Scatterplots, Journal of the American Statistical Association, vol. 74 (368), pp. 829-836, 1979. `http://www.people.fas.harvard.edu/~gov2000/Handouts/lowess.pdf `__ - W.S.\ Cleveland, S.J. Devlin, Locally-Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, vol. 83 (403), pp. 596-610, 1988. `http://www.econ.pdx.edu/faculty/KPL/readings/cleveland88.pdf `__