Results 141 to 150 of about 414,017 (186)

Generalized k-nearest neighbor rules

Fuzzy Sets and Systems, 1986
This paper discusses a suitable framework for generalizing the k-nearest neighbor (k-NNR) algorithms to cases where the design labels are not necessarily crisp, i.e., not binary-valued. The proposed framework imbeds all crisp k-NNR's into a larger structure of fuzzy k-NNR's. The resultant model enables neighborhood voting to be a continuous function of
Bezdek, James C., Chuah, Siew K., Leep, David   +2 more
openaire   +1 more source

K-Nearest Neighbor Finding Using MaxNearestDist

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth- first or a best-first algorithm to the search hierarchy containing the data. These algorithms are generally applicable to any index based on hierarchical clustering.
openaire   +2 more sources

k-Nearest Neighbor Prediction Functions

2016
The purpose of the k-nearest neighbor prediction function is to predict a target variable from a predictor vector. Commonly, the target is a categorical variable, a label identifying the group from which the observation was drawn. The analyst has no knowledge of the membership label but does have the information coded in the attributes of the predictor
Brian Steele, John Chandler, Swarna Reddy   +2 more
openaire   +1 more source

K-Nearest Neighbors

2022
Christo El Morr, Manar Jammal, Hossam Ali-Hassan, Walid El-Hallak   +3 more
openaire   +1 more source

K-Nearest Neighbor

2023
openaire   +1 more source

Hybrid k -Nearest Neighbor Classifier.

IEEE transactions on cybernetics, 2017
Conventional k -nearest neighbor (KNN) classification approaches have several limitations when dealing with some problems caused by the special datasets, such as the sparse problem, the imbalance problem, and the noise problem. In this paper, we first perform a brief survey on the recent progress of the KNN classification approaches.
Zhiwen, Yu, Hantao, Chen, Jiming, Liuxs, Jane, You, Hareton, Leung, Guoqiang, Han   +5 more
openaire   +1 more source

Plant root exudates and rhizosphere bacterial communities shift with neighbor context

Soil Biology and Biochemistry, 2022
Tayler C Ulbrich, Albert Rivas-Ubach, Lisa K Tiemann   +2 more
exaly  

K-nearest Neighbors

2021
openaire   +1 more source

K-Nearest Neighbor

2012
Xiaowei Huang, Gaojie Jin, Wenjie Ruan
openaire   +1 more source

A new two-layer nearest neighbor selection method for kNN classifier

Knowledge-Based Systems, 2022
Zhibin Pan
exaly