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Package

weka.classifiers.mi

Synopsis

Modified version of the Citation kNN multi instance classifier.

For more information see:

Jun Wang, Zucker, Jean-Daniel: Solving Multiple-Instance Problem: A Lazy Learning Approach. In: 17th International Conference on Machine Learning, 1119-1125, 2000.

Options

The table below describes the options available for CitationKNN.

Option

Description

HDRank

The rank associated to the Hausdorff distance.

debug

If set to true, classifier may output additional info to the console.

numCiters

The number of citers considered to estimate the class prediction of test bags.

numReferences

The number of references considered to estimate the class prediction of tests bags.

Capabilities

The table below describes the capabilites of CitationKNN.

Capability

Supported

Class

Missing class values, Binary class, Nominal class

Attributes

Date attributes, Numeric attributes, Binary attributes, Empty nominal attributes, Relational attributes, Unary attributes, Missing values, Nominal attributes

Other

Only multi-Instance data

Min # of instances

1

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