Because of slowly in clustering result , convergent , and poor in clustering random data sets , there are some obstacles in using . some algorithms for hierarchical - based method is discussed in this paper 但是該類(lèi)算法不足之處在于閾值收斂速度過(guò)慢,對(duì)任意形狀的聚類(lèi)結(jié)果較差,從而給該方法的應(yīng)用帶來(lái)了障礙。
With accelerating pace of science development , the demands on capability of large - scale information analysis are increasing . data mining is the process through which we can extract hidden but useful knowledge from half - backed , noising , fuzzy and random data sets 數(shù)據(jù)挖掘( datamining )就是從大量的、不完全的、有噪聲的、模糊的、隨機(jī)的數(shù)據(jù)中,提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識(shí)的過(guò)程。