Front Inner Page - Volume 2 No.3 June 2015

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  • Title

    :

    Effective Learning of Restraints for Semi Administered Clustering

    Authors

    :

    E.Balaji1, M.G.Lavakumar2

    Keywords

    :

    Active learning, clustering, semi-supervised learning 

    Issue Date

    :

    June – 2015

    Abstract

    :

    Semi-supervised clustering is improving clustering performance by considering user supervision in the form of pairwise constraints. We study the active learning problem of selecting pairwise must-link and cannot-link constraints for semi-supervised clustering. We apply a general framework that builds on the concept of neighborhood, where neighborhoods contain “labeled examples” of different clusters according to the pairwise constraints. Our active learning method expands the neighborhoods by selecting informative points and querying their relationship with the neighborhoods. Under this framework, we build on the classic uncertainty-based principle and present a novel approach for computing the uncertainty associated with each data point.  

    Page(s)

    :

    1-3

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 2, No.3, June 2015

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