Data Mining Clustering Algorithm Research and Application

Yi Fan Zhang; Yong Tao Qian; Tai Yu Liu; Shu Yan Wu

doi:10.4028/www.scientific.net/AMR.926-930.3608

Paper Titles

A New Clustering Algorithm and Related Quantitative Descriptions in Ad Hoc Networks
p.3590

Bayesian Networks Model for Estimation of Distribution Algorithms
p.3594

Canonical Correlation Analysis on Fusion of Global and Local Features of Face Recognition
p.3598

Cryptanalysis of an Eliptic Curve Based Threshold Proxy Signature Scheme
p.3604

Data Mining Clustering Algorithm Research and Application
p.3608

Fast Line Extraction Algorithm Based on Improved Hough Transformation
p.3612

FPGA Implementation of PDCCH Blind Detection Algorithm in TD-LTE
p.3616

Implement of Data Synchronization between Heterogeneous Databases Using Goldengate
p.3621

Improved LAMBDA Algorithm Applied to Attitude Determination
p.3625

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Data Mining Clustering Algorithm Research and Application

Abstract:

In this paper, first introduce data mining knowledge then focuses on the clustering analysis algorithms, including classification clustering algorithm, and each classification typical cluster analysis algorithms, including the formal description of each algorithm as well as the advantages and disadvantages of each algorithm also has a more detailed description. Then carefully introduce data mining algorithm on the basis of cluster analysis. And using cohesion based clustering algorithm with DBSCAN algorithm and clustering in consumer spending in two-dimensional space, 2,000 data points for each area, and get a reasonable clustering results, resulting in hierarchical clustering results valuable information, so as to realize the practical application of the algorithm and clustering analysis theory combined.