Package

weka.filters.unsupervised.attribute

Synopsis

Implements the MILES transformation that maps multiple instance bags into a high-dimensional single-instance feature space.
For more information see:

Y. Chen, J. Bi, J.Z. Wang (2006). MILES: Multiple-instance learning via embedded instance selection. IEEE PAMI. 28(12):1931-1947.

James Foulds, Eibe Frank: Revisiting multiple-instance learning via embedded instance selection. In: 21st Australasian Joint Conference on Artificial Intelligence, 300-310, 2008.

Options

The table below describes the options available for MILESFilter.

Option	Description
debug	Turns on output of debugging information.
sigma	The value of the sigma parameter.

Capabilities

The table below describes the capabilities of MILESFilter.

Capability	Supported
Class	Relational class, Unary class, String class, Binary class, Nominal class, Date class, Empty nominal class, Numeric class
Attributes	Numeric attributes, Empty nominal attributes, Date attributes, Relational attributes, Unary attributes, Nominal attributes, String attributes, Binary attributes
Other	Only multi-Instance data
Min # of instances	0