User:Jdutkowski/Network-based classification (machine learning)
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Network-based classification (machine learning)
In machine learning, classification is the problem of identifying the sub-population (or class) of each entity based on the observed features of the entity. Network-based classification uses prior knowledge of relationships between the observed features in order to constrain the classification problem. These relationship are given in the form of a network model in which the nodes of the network represent the observed features and the edges represent feature interdependencies.
Problem specification
Applications in Computational Biology
Algorithms
Known Issues
Other related methods
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