Globally Stabilized 3L Curve Fitting
نویسندگان
چکیده
Although some of the lÝnear curve fitting techniques provide improvements over the classicalleast squares fit algorithm,most of them cannot globally stabilize majority of data sets, and are not robust enough to handIe moderate levels of noise or missing data. In this paper, we apply "ridge regression regularization" to strengthen the stability and robustness of a linear fitting method, 3L fitting algorithm, while maintaining its Euclidean invariance.
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