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Objective function‐based clustering
WIREs Data Mining and Knowledge Discovery, 2012AbstractClustering is typically applied for data exploration when there are no or very few labeled data available. The goal is to find groups or clusters of like data. The clusters will be of interest to the person applying the algorithm. An objective function‐based clustering algorithm tries to minimize (or maximize) a function such that the clusters ...
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Interactive functional objects in Clean
1998The functional programming language Clean has a high level I/O system (version 0.8) in which complex yet efficient interactive programs can be created. In this paper we present its successor (version 1.0), the object I/O system. We consider some of the design considerations that have influenced the design of the new I/O system greatly.
Achten, P.M., Plasmeijer, R.
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An Objective Function for Independence
Proceedings of International Conference on Neural Networks (ICNN'96), 2005Gonçalo C. Marques, Luís B. Almeida
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Object Protocols as Functional Parsers
2007A service definition is an abstract specification of the behavior of a software component. It provides the interface between the users of an object and its (hidden) implementation. A protocol can be a part of a service definition. It captures the conditions under which interface operations can be invoked.
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Objective Function-based Discretization
2006Decision tree learner inspect marginal class distributions of numerical attributes to infer a predicate that can be used as a decision node in the tree. Since such discretization techniques examine the marginal distribution only, they may fail completely to predict the class correctly even in cases for which a decision tree with a 100% classification ...
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