Research on Information Clustering for Network Marketing System Based on Density-isoline Algorithm

Similar information clustering is one of the difficulties and hot research fields in the internet search engine research in network marketing system. Based on the clustering and analyzing techniques of data mining, the paper takes text clustering for example and presents a new information clustering algorithm for network marketing system based on density-isoline algorithm. Firstly, the texts information to be clustered are preprocessed to satisfy succeed process; Secondly, the specific definition of density function, the algorithm flow and the selection of neighbourhood size and density threshold value of the density-isoline algorithm are improved in order to overcome the flaws of original density-isoline algorithms, such as low engineering practicability and make the algorithm can be used in the clustering of large-scale network text for network marketing system; Finally The experimental results indicate that the improved algorithm has a higher accuracy and has a better stability compared with the original algorithm.