Patent ID: 9582736
Date: 2017-02-28
CPC Classifications: G06K,G06N

Claim:
1. An apparatus for classifying target data comprising degrees of class membership and vectors, one vector of the vectors comprising at least one attribute value, the apparatus comprising: a clusterer configured to cluster the vectors into at least one cluster, based on the degrees of class membership, in a cluster operation, the degrees of class membership comprising a degree of correlation between the target data and a specific event; and a classification model generator configured to label the target data according to a result of the cluster operation, and generate a classification model using the labeled target data; and a cluster parameter determiner configured to optimize a cluster parameter value according to a first cluster of the at least one cluster, of the vector of the target data, wherein the clusterer re-clusters the vectors of the target data using the optimized cluster parameter value and probability density function(PDF) in which a degree of class membership of a corresponding target data is taken into consideration.