A regression model based on the nearest centroid neighborhood

A regression model based on the nearest centroid neighborhood

The renowned k-nearest neighbor decision rule is widely used for classification tasks, where the label of any new sample is estimated based on a similarity criterion defined by an appropriate distance function. It has also been used successfully for regression problems where the purpose is to predic...

पूर्ण विवरण

में बचाया:

ग्रंथसूची विवरण
मुख्य लेखक:	Garcia, Vicente
अन्य लेखक:	Sánchez Garreta, Josep Salvador, Marques, Ana Isabel, Martínez-Peláez, Rafael
स्वरूप:	Artículo
भाषा:	en_US
प्रकाशित:	2018
विषय:	Nearest neighborhood Regression analysis Surrounding neighborhood Symmetry criterion info:eu-repo/classification/cti/7
ऑनलाइन पहुंच:	https://doi.org/10.1007/s10044-018-0706-3 https://doi.org/10.1007/s10044-018-0706-3
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