I have done the project in my college.

we are 4 members doing the project it has taken 4 months of time.

Traditional subspace clustering algorithms becomes inefficient as well as ineffective while extracting Knowledge from data environment it needs to design parallel distributed subspace Clustering algorithm to handle large multi-Dimenstional with an low cost. Currently no subspace clustering algorithm can process very large datasets in feasible time, parallel and distributed computing seems to be ideally suited to address big data issues