Multisample Classification in Clinical Decisions using Multi-Aggregative Factored K-NN Classifier IJTSRD
Classification in sample by sample process, a classifier is requested to combine information across multiple samples drawn from the same data source, the results are combined using a strategy such as majority are selected. To solve the problem of classification failure, a new hazard function in multisample classification is introduced ie Multi-aggregative factored K-NN Classifier. […]