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1.

Algorithm that produces class labels as output, from a set of features of an object. A classifier, for example, is used to classify certain features extracted from a face image and provide a label (an identity of the individual). Learn more in: Component Analysis in Artificial Vision

2.

function that associates a class c to each input pattern x of interest. A classifier can be directly constructed from a set of pattern examples with their respective classes, or indirectly from a statistical model Learn more in: Class Prediction in Test Sets with Shifted Distributions

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An algorithm to assign unknown object samples to their respective classes. The decision is made according to the classification feature vectors describing the object in question. Learn more in: Pit Pattern Classification Using Multichannel Features and Multiclassification

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A set of patterns and rules to assign a class to new examples. Women Heels Scott Karen Clancy Burgundy US 8 HF0PnnSqx

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A structured model that maps unlabeled instances to finite set of classes. Learn more in: Incorporating Fuzzy Logic in Data Mining Tasks

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Helps in grouping of input data to a category. Learn more in: Introduction and Implementation of Machine Learning Algorithms in R PU Women's On Pull Kitten Solid Toe Pumps Pink Closed Heels Shoes WeenFashion dEBqAE

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A decision-supporting system that given an unseen (to-be-classified) input object yields a prediction, for instance, it classifies the given object to a certain class. Edelman Microsuede Women's 1 Bianca Circus Flat by Sandal Sam Black 6xnatEa8w

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An algorithm that implements classification in the field of machine learning and statistical analysis. Learn more in: Important Issues in Software Fault Prediction: A Road Map

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A computational method that can be trained using known labeled data for predicting the label of unlabeled data. If there's only two labels (also called classes), the method is called “detector”. Learn more in: New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection