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The authors used several learning algorithms such as K-NN and decision trees in order to classify data.
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"It's asking humans to do pattern-recognition in oder to classify data.
The aim is to improve a partial automation of the linkage decision process, involving the use of a training data set, in order to instruct a learning algorithm to classify data in link or non-link.
Bayesian techniques have been used to combine evidence in MFD experiments in order to classify burst data [ 10, 11] using information from reference samples for each class.
In order to classify related data, we have used following classifiers; scaled conjugate gradient (SCG), Broyden Fletcher Goldfarb Shanno (BFGS), and Levenberg Marquardt (LM) training algorithms of artificial neural networks (ANN) and linear, polynomial, and radial based kernel functions of support vector machine (SVM).
In order to classify cases data were subjected to discriminant function analysis (DA).
One is convergent, attempting to classify data as quickly as possible; the other is divergent, trying instead to delay classification.
Sometimes we map the training data from their input space to another high-dimensional feature space in order to classify nonlinearly separable data.
In order to classify the EM34 data into broad physiographic and hydrogeological units, fuzzy k-means (FKM) classification was applied.
In particular, Maner and Garfield [4] used a kohonen method in order to classify uterine EMG data into term/preterm and labor/non-labor classes.
Phylogenetic trees were firstly generated with the Neighbour-Joining method for Hevea, Arabidopsis and Gossypium in order to classify the groups (data not shown).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com