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Hierarchical cluster analysis and canonical discriminant analysis were employed to classify 26 batches of commercial Longjing green tea extracts (LJGTEs) collected from different producers.
As a feasibility study, our work was focused on classification of chromosomes in group E. Three layer artificial neural networks were employed to classify each chromosome in one of the three possible classes (chromosomes 16, 17 and 18).
Then, the Ward's and k-means cluster analyses were employed to classify students by their learning behaviors.
The Ward's hierarchical and k-means non-hierarchical clustering methods were employed to classify types of learners' behavior while they engaged in learning activities on the MOOC platform.
In addition to this, US Salinity Laboratory diagram, Chadha diagram and Wilcox diagram were employed to classify and determine the suitability of groundwater for irrigation by correlating sodium absorption ratio/electrical conductivity and percent sodium/electrical conductivity, respectively (Table 1).
Chemometric tools were employed to classify the extracts based on HPLC analysis and FTIR fingerprints.
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Two Neural Network (NN) classifiers, four Support Vector Machine (SVM) classifiers and K-Nearest Neighbor (KNN) classifier are employed to classify the ECG signals and compared with the proposed classifier.
An HMM classifier was employed to classify each video frame in the arousal-valence axis.
Next, a standard, supervised image classification approach (i.e. Maximum Likelihood Classifier) was employed to classify two major land covers of interest: agricultural land and settlement (urban) areas.
Supervised methods, such as Bayesian classifiers, decision trees and support vector machines, are employed to classify compounds for a particular functional activity class.
For example, when diagnosing cancers based on gene expression profiles, low accuracy is expected if a traditional classifier, for example, linear discriminant analysis (LDA), is employed to classify the samples based on all the genes measured.
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