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One of the simplest classification methods is nearest mean classifier (NMC) that is a parametric, unbiased, and probabilistic method.
The obtained vectors were classified by NN (Nearest Neighbour classifier), NM (Nearest Mean classifier) and GMM (Gaussian Mixture Models).
K-means clustering aims to partition the observations into k clusters in which each observation belongs to the cluster with the nearest mean.
K-means clustering method applied to spatial coordinates was used to merge individual counties in larger geographic groups (clusters) on the basis of the nearest mean.
The proposed synchronous BCI design was tested on 16 subjects in offline and online experimental tasks using support vector machines, linear discriminant analysis and the nearest mean classifier.
We also compared several learning classifiers including K-Nearest Neighbor Classifier (KNNC), Naïve Bayes Classifier (NBC), Nearest Mean Scaled Classifier (NMSC), uncorrelated normal based quadratic Bayes Classifier recorded as UDC, Support Vector Machines, and a distance metric learning for Large Margin Nearest Neighbor classifier (LMNN) based on Mahanalobis distance.
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Horizontal movement of the vessel causes changes in the riser catenary configuration in near, mean, and far positions.
(B) Samples near mean UCS develop several fracture planes.
In May, according to Screamscape, astute coaster fans spotted survey markers near Mean Streak spray-painted with a neon pink "RM C.
Here "near" means within the extent of the dither pattern (about 16 arcsec).
The upper right corner corresponds to the nearest-means classifier.
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