We propose the use of clustering methods in order to discover the quality of each element in a training set to be subsequently fed to a regression algorithm. The paper shows that these methods, used in combination with regression algorithms taking into account the additional information conveyed by this kind of quality, allow the attainment of higher performances than those obtained through standard techniques.
Discovering regression data quality through clustering methods / D. Malchiodi, S. Bassis, L. Valerio - In: New Directions in Neural Networks : 18th Italian Workshop on Neural Networks: WIRN 2008 / [a cura di] B. Apolloni, M. Marinaro, S. Bassis. - Amsterdam : IOS Press, 2009. - ISBN 9781586039844. - pp. 76-85 (( convegno 18th Italian Workshop on Neural Networks: WIRN 2008 [10.3233/978-1-58603-984-4-76].
Discovering regression data quality through clustering methods
D. MalchiodiPrimo
;S. BassisSecondo
;L. ValerioUltimo
2009
Abstract
We propose the use of clustering methods in order to discover the quality of each element in a training set to be subsequently fed to a regression algorithm. The paper shows that these methods, used in combination with regression algorithms taking into account the additional information conveyed by this kind of quality, allow the attainment of higher performances than those obtained through standard techniques.
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