计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
14期
109-112,116
,共5页
Web搜索结果聚类%混合蛙跳算法%模糊C均值%搜索策略
Web搜索結果聚類%混閤蛙跳算法%模糊C均值%搜索策略
Web수색결과취류%혼합와도산법%모호C균치%수색책략
Web search results clustering%Shuffled Frog Leaping Algorithm(SFLA)%Fuzzy C-Mean(FCM)%searching strategy
针对模糊聚类算法中存在的对初始值敏感、易陷入局部最优等问题,提出了一种融合改进的混合蛙跳算法(SFLA)的模糊C均值算法(FCM)用于Web搜索结果的聚类。新算法中,使用SFLA的优化过程代替FCM的基于梯度下降的迭代过程。改进的SFLA通过混沌搜索优化初始解,变异操作生成新个体,并设计了一种新的搜索策略,有效地提高了算法寻优能力。实验结果表明,该算法提高了模糊聚类算法的搜索能力和聚类精度,在全局寻优能力方面具有优势。
針對模糊聚類算法中存在的對初始值敏感、易陷入跼部最優等問題,提齣瞭一種融閤改進的混閤蛙跳算法(SFLA)的模糊C均值算法(FCM)用于Web搜索結果的聚類。新算法中,使用SFLA的優化過程代替FCM的基于梯度下降的迭代過程。改進的SFLA通過混沌搜索優化初始解,變異操作生成新箇體,併設計瞭一種新的搜索策略,有效地提高瞭算法尋優能力。實驗結果錶明,該算法提高瞭模糊聚類算法的搜索能力和聚類精度,在全跼尋優能力方麵具有優勢。
침대모호취류산법중존재적대초시치민감、역함입국부최우등문제,제출료일충융합개진적혼합와도산법(SFLA)적모호C균치산법(FCM)용우Web수색결과적취류。신산법중,사용SFLA적우화과정대체FCM적기우제도하강적질대과정。개진적SFLA통과혼돈수색우화초시해,변이조작생성신개체,병설계료일충신적수색책략,유효지제고료산법심우능력。실험결과표명,해산법제고료모호취류산법적수색능력화취류정도,재전국심우능력방면구유우세。
The traditional fuzzy clustering algorithm is sensitive to initial point and easy to fall into local optimum. In order to overcome these flaws, a novel Web search results clustering method based on Fuzzy C-Mean algorithm which combines the modi-fied Shuffled Frog Leaping Algorithm(SFLA)is presented. The new method uses SFLA to replace the iteration process of FCM based on the gradient descent. In this SFLA, a chaotic local search is introduced to improve the quality of the initial individual. In addition, mutation operating is joined to generate new individual. Simultaneously, a new searching strategy is presented to in-crease the optimization ability. The experimental results show the proposed method improves the search capability and the clus-tering performance of fuzzy clustering algorithm, and it has the advantages in the global search ability.