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Then, these vector sets were classified by using k-means clustering algorithm to determine the centroid vectors of each classified vector sets, which were to be used in constructing of the CSEVS.
Encoded signals were classified by using the Gustafson Kessel (GK) and k-medoids algorithms.
51 (1998) 897 936] all σ-moderate solutions were classified by using their fine boundary traces.2 In [M.
(c) Combined feature vectors of selected five channels were classified by using MLPNN and kNN methods.
In this section, final feature vectors obtained from EEG segments were classified by using kNN algorithm.
In [2, 3], the defects were classified by using K-nearest neighbor (KNN) methods with a co-occurrence matrix.
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After being located, vehicle candidates are classified by using a linear SVM classifier [7] with HOG features [8] previously trained with the samples obtained from real road images, and at that point vehicle tracking starts.
Once gray code bits and the corresponding weak classifiers parameters are learned, a new patch can be classified by using the sign of (8). Figure 5 Selected gray code bits.
The correlation results are classified by using five correlation levels.
Nevertheless, some elementary types of nonlinear behavior of control systems can be classified by using normal forms.
To illustrate this innovative approach, a selected corpus was classified by using the shape-grammar schema with the support of knowledge extraction tools.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com