some classical clustering algorithms and decision trees algorithms are analyzed and compared 并具體分析比較了多種的典型聚類(lèi)和決策樹(shù)數(shù)據(jù)挖掘算法。
the characteristics of user interests automatic clustering are analyzed, which highlight that most of the classical clustering algorithms can not address the requirements of user interests automatic clustering 分析了用戶興趣自動(dòng)聚類(lèi)問(wèn)題的特點(diǎn),指出現(xiàn)有經(jīng)典聚類(lèi)算法大都難以滿足用戶興趣自動(dòng)聚類(lèi)的需求。
the ideas of the classical clustering algorithms are studied . according to the clustering idea, the classical clustering algorithms are categorized into two classes, i . e . cluster integer oriented clustering and object individual oriented clustering 分析了現(xiàn)有聚類(lèi)算法的思路,將聚類(lèi)算法分為從簇整體出發(fā)的聚類(lèi)和從對(duì)象個(gè)體出發(fā)的聚類(lèi)。
the ideas of the classical clustering algorithms are studied . according to the clustering idea, the classical clustering algorithms are categorized into two classes, i . e . cluster integer oriented clustering and object individual oriented clustering 分析了現(xiàn)有聚類(lèi)算法的思路,將聚類(lèi)算法分為從簇整體出發(fā)的聚類(lèi)和從對(duì)象個(gè)體出發(fā)的聚類(lèi)。