Sentence examples for samples are classified from inspiring English sources

Nearest neighbor (KNN) is very simple, most popular, highly efficient and effective algorithm for pattern recognition.KNN is a straight forward classifier, where samples are classified based on the class of their nearest neighbor.

In the testing procedure, the test samples are classified by their corresponding classifier with the knowledge of QF2.

In the testing procedure, the test samples are classified by their corresponding classifier with the knowledge of QF2.   2) For Bianchi I's [14] approach, with the knowledge of QF2, QF1 is estimated by an EM algorithm.

Samples are classified by a k-nearest neighbors (k-NN) classifier applied to the embedding of the corresponding feature vector.

On the other hand, both expression-based ER classification methods produced a notable level of discrepancy with IHC-based ER status; 9.3% and 12.7% of the samples are classified discordantly by ESR1 and 23-gene expression-based classifiers, respectively, compared to IHC-based ER status.

The samples are classified according to their normalized histogram feature vectors through the nearest-neighbor rule (1-NN) using the Hamming distance.

TNBC (Basal) samples were classified by the PAM50 molecular subtyper as previously published55, 56.

Initial analysis of these results confirms that 19 samples were classified as the wrong species and were subsequently discarded.

The fingernail samples were classified into three groups based on the clinical conditions of T2D prescribed by American Diabetes Association ADAA) guidelines8,47.

The samples were classified according to the superpave performance grading system.

The samples were classified according to their Chemical Oxygen Demand CODD) and Volatile Fatty Acid (VFA) content.