• Dr.N.Lakshmi Prasanna
• P.Srinu

As the Data mature increases tired, the business arises in changeless rally of materials from a large Data set. In this placing, a original quantization promote is nominal to degrade the quantization error. Customary the Adjacent Neighbor (NN) Exploration is sound benefit for large-scale datasets. To thrash the chip of NN inquiry, an unnecessary prepay is lay out to degrade the computational burden and further performs the state-of-the-art methods. The Attitude Next Neighbor (ANN) assessment performs the unchanging and apt return of data as the ground of data grow increases rapidly. It explores the quantization centroids on fuse affine subspace.

Approximate Nearest Neighbor search, Binary codes, Large-scale retrieval, Subspace clustering, Cartesian product.

"A Novel Approach on Online Product Quantization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.384-387, March-2019, Available :http://www.jetir.org/papers/JETIR1903G54.pdf

"A Novel Approach on Online Product Quantization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp384-387, March-2019, Available at : http://www.jetir.org/papers/JETIR1903G54.pdf