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...

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書誌詳細
第一著者:	Garcia, Vicente
その他の著者:	Sánchez Garreta, Josep Salvador, Marques, Ana Isabel, Martínez-Peláez, Rafael
フォーマット:	Artículo
言語:	en_US
出版事項:	2018
主題:	Nearest neighborhood Regression analysis Surrounding neighborhood Symmetry criterion info:eu-repo/classification/cti/7
オンライン･アクセス:	https://doi.org/10.1007/s10044-018-0706-3 https://doi.org/10.1007/s10044-018-0706-3
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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