NOVEL HIERARCHICAL K-MEANS CLUSTERING BASED LOSSLESS DATA COMPRESSION SCHEME

Dr. J. Satheesh Kumar, S.V. Krithika
2020 International Journal of Engineering Applied Sciences and Technology  
Hierarchical K-means is an important clustering method that is widely applied in different applications such as wireless networks, data mining and image processing. Now this method can be applied in very large scale integration (VLSI) domain. It is the process of creating an integrated circuit. This new approach can be determined initial from the centroid for k-means. The hierarchical clustering is most preferable because of flexibility. In this paper a Hierarchical Kmeans clustering (NHK)
more » ... golomb coding technique is implemented on Field Programmable Gate Array (FPGA) for reconfigurable system design. Golomb coding is the lossless data compression method using a family of data compression codes. Lossless data compression is used in many applications. For example, it is used in the ZIP file format. Golomb coding is a wellknown technique for a lossless data compression. The coding plan improvement in FPGA uses the Verilog HDL. Progressive memory is utilized to store an aggregate of 2046 centroid vectors and offer a limit of 10 centroid vectors to the area all the while.
doi:10.33564/ijeast.2020.v05i03.109 fatcat:qc2ihuiugrevdmvfbfxqnokvpm