PREFERENCE BASED CLUSTERING

摘要

To cluster objects associated with a dataset, a selection of criteria is received. For the received criteria, preference information is received to perform a preference-based clustering of the objects. Based on the preference information, a uni-criterion preference degree corresponding to each of the selected criterion is computed. The uni-criterion preference degrees of all the selected criteria are aggregated to compute a universal preference degree. Based on a preference-type and the computed preference degree, a relationship matrix is generated. The matrix representing similarity measure between the objects is generated. The objects are clustered according to the relationship matrix. A visualization of the clustered objects is rendered on an associated user interface.

主权项

1. A computer implemented method to cluster a plurality of objects associated with a dataset, comprising:
receiving a selection of one or more criteria to cluster the objects associated with the dataset; for the selected criteria, receiving a preference information to perform a preference-based clustering of the objects; based on the received preference information, computing a preference degree between the objects corresponding to the selected one or more criteria; based on the preference degree, generating a relationship matrix representing a similarity measure between the objects associated with the dataset; and clustering the objects associated with the dataset according to the relationship matrix.