K-means and associated cuckoo based hierarchy optimization for document categorization

In this paper a hybrid algorithm for text data categorization has been proposed. There are four different classifiers of filtrations have been used. First classifier is numeric classifier (NC). NC is used for the numeric value classification and removal. Second classifier is separator classifier (SC). SC is used for the delimiter value classification and removal. Third classifier is all classifier (AC). AC is used for the grammar classification and removal. Last classifier is manual data classifier (MDC). MDC is used for the manual data value classification and removal. Then the associated cuckoo search optimization (CSO) based hierarchy optimization has been applied on the obtained data. Overall accuracy obtained by our approach is approximately 95%.