Apparatus and method for classifying data and system for collecting data

摘要

Provided are an apparatus and method for classifying data and a system for collecting data. The method includes clustering vectors, each of which consists of at least one attribute value, for a plurality of pieces of target data including degrees of class membership and the vectors in view of the degrees of class membership, labeling the plurality of pieces of target data according to a result of the clustering, and generating a classification model using the labeled pieces of target data.

主权项

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.