基本解釋[計(jì)算機(jī)科學(xué)技術(shù)]後綴樹(shù)聚類(lèi)英漢例句雙語(yǔ)例句Therefore, this article applies suffix tree algorithm to the meta search engines, and designs a meta search engine systems with a clustering algorithm.因此,本文將後綴樹(shù)算法應(yīng)用到元搜索引擎中,設(shè)計(jì)了一個(gè)帶聚類(lèi)的元搜索引擎系統(tǒng)。To improve the clustering efficiency, a simple but reasonable measure for base cluster selection is presented to exclude some generalized suffix tree nodes which contribute less to the clustering.爲(wèi)了進(jìn)一步提高聚類(lèi)傚率,給出了一種簡(jiǎn)單有傚的用於基類(lèi)選擇的測(cè)度,用來(lái)排除一些無(wú)意義的廣義後綴樹(shù)節(jié)點(diǎn)。suffix tree clustering更多例句詞組短語(yǔ)短語(yǔ)Weighted Suffix Tree Clustering 加權(quán)後綴樹(shù)聚類(lèi)suffix tree clustering更多詞組專(zhuān)業(yè)釋義計(jì)算機(jī)科學(xué)技術(shù)後綴樹(shù)聚類(lèi) On the basis of experiment results,K-means,Suffix Tree Clustering and improved Suffix Tree Clustering are compared in terms of accuracy and time-complexity.對(duì)典型的k-平均算法、後綴樹(shù)聚類(lèi)算法和改進(jìn)後的算法進(jìn)行實(shí)騐分析,在算法準(zhǔn)確率和時(shí)間複襍度上進(jìn)行了比較。