KNN


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AcronymDefinition
KNNKids News Network
KNNKanda News Network (Japan)
KNNKingdom News Network
KNNKashmir News Network
KNNKurdistan National Network
KNNK-Mart News Network
KNNK-Nearest Neighbor (or K-Th Nearest Neighbor (mathematics)
References in periodicals archive ?
The knn meisters team members were: Bolat Idrisov, Alexander Myachin, Igor Arkhipov, Maxim Shitov, and Roman Potemin.
In addition to prison time, KNN reports, monetary penalties are also in place of up to 25,000 [INR], which is equivalent to $351.80.
The found valid data is then used for the character recognition process using KNN. The result from the character recognition process is once again validated against the identified LP structure before declaring the final recognition result (i.e., LP number and characters in plain text).
Algoritmo KNN: El KNN es uno de los clasificadores basados en vecindad mas populares en el aprendizaje automatico (Kataria y Singh, 2013), dado su simplicidad y eficiencia para detectar y clasificar elementos en categorias.
Some these classifiers are lazy which store training data and wait until it is given a test tuple, usually less time in training but more time in predicting such as instance-based and kNN.
Jiang and Guasong (2012) presented a study which builds a classification model by combining constrained one pass clustering algorithm and KNN text categorization.
The classifiers KNN and NB were applied with detailed explanation, where NB produces better accuracy than KNN classifier for movie review dataset.
In the present study, the properties of KNN-bitumen-based lead-free piezoceramics (KNN) were focused after embedding in asphalt mixtures.
DT KNN LDA Logit Join Disjoin XI XI XI XI XI XI XI X2 X2 X2 X3 X3 X3 X4 X4 X4 X4 X4 X4 X5 X5 X7 X7 X7 X8 X8 X8 X9 X9 X9 X9 X10 X10 X10 X10 X11 X11 X11 X11 X12 X12 X13 X13 X13 X13 X16 X16 X19 X19 X19 X19 X19 X20 X20 X21 X21 X22 X22 X23 X23 X23 X24 X24 X24 X24 X29 X29 X29 X29 X29 X30 X30 X30 X30 X30 X30 X31 X31 X32 X32 X32 X32 X32 X33 X33 X34 X34 X34 X34 X34 Nonlinear Chi-sq.
The kNN and SVM algorithms are employed for classification, and classification accuracy is adopted as the evaluation criterion.
Unfortunately, most of the previous works to compute kNN in privacy preserving manner assumed that there exists only one data owner rather than multiple data owners [13-19].
Rajkumar and Reena [33] performed the experiment on the dataset to diagnose CAD using KNN and the study described that the KNN classifier obtained 45.67% accuracy only.