clustering agent

基本解釋

Use of clustering data mining to research agent trust degree is a more effective way.
使用聚類數(shù)據(jù)挖掘方法，研究和探討代理商信任度，是比較有效的一種方法。
Be aware that the administrative agent does not provide clustering, failover, or multiple node capabilities.
請注意，管理代理不提供集群、故障轉(zhuǎn)移或多節(jié)點功能。
Then the calculation of agent trust degree is discussed, and studied and validated in terms of clustering data mining, and then I make an experimental conclusion.
接著，討論了代理商的信任度計算問題，并從聚類數(shù)據(jù)挖掘方面對代理商的信任度計算進行了研究和驗證，給出了實驗結(jié)論。