The Main Purpose of the paper is data owner’s wants to outsource their important and confidential data from local machine to cloud for economic save and better flexibility. To ensure the privacy of the data,important data has to be encrypted before outsourcing. Therefore it is necessary to develop well organize and definitive cipertext search methods. As we know that there are big amount of data users and documents in the cloud,it is very important to use multiple keywords while searching data on cloud and should return the document related to this keyword. Here we proposed hierarchical clustering method and also we using relevance scores and the preference factors of keywords for Searchable encryption to support good search semantics and also produce the accurate data while searching in big data. The hierarchical approach bunch the data based on the lower relevance threshold,and dividing the result into sub-directories until the condition on maximum size cluster is complete. In search time,this mechanism can reach a continue calculation against an increase size of document. At the time of confirming the authenticity of result,aminimum hash sub-tree is used as structure in this paper. The final result produce us an extensive increase of data in the search scheme and also we got building index,generating trapdoor and the applied method is gives better rank privacy and related data. © 2016,International Journal of Pharmacy and Technology. All rights reserved.