Clustering Algorithm Research Based on Breadth-first Search
Zeyu Wu · Journal of Xingtai Polytechnic College · 2013
With the rapid development of computer technology and network technology to the public,people have more opportunities to network with the outside world through the exchange of information.However,with the influx of a large number of data,the difficulty we obtain useful information increased.The contradiction between the rapid data increase and the lag of data processing method growing,people want to be able to analyze large amounts of data on the existing basis for scientific research,commercial decisions and business management.Data mining was born.Cluster analysis is an important data mining technique to analyze data and discover useful information,and it is very effective.This paper mainly studies the clustering algorithm based on the Level Iterated theory.