Fuzzy statistic clustering theory may be applied to establish a subject function taking safety degree of banks as a clustering criterion to classify for quantitative analysis , and shishou river is taken for an instance 摘要為定量分析岸坡發生崩岸的危險程度,采用模糊統計聚類理論,建立了以岸坡安全程度為聚類標準的隸屬函數,并以石首河段為例對岸坡進行了聚類判別。
Conventional clustering criteria - based algorithms is a kind of local search method by using iterative mountain climbing technique to find optimization solution , which has two severe defects - sensitive to initial data and easy as can get into local minimum 傳統的基于聚類準則的聚類算法本質上是一種局部搜索算法,它們采用了一種迭代的爬山技術來尋找最優解,存在著對初始化敏感和容易陷入局部極小的致命缺點。
Most existing clustering algorithms are classified and inter - compared from three different viewpoints , namely clustering criteria , cluster representation , and algorithm framework , and analysed and evaluated with hybrid methods , incremental algorithms , automation and visualization 從聚類準則、聚類的表示、算法框架等不同角度來考察并區分這些算法,然后從混合聚類方法、增量聚類、自動化和可視化等技術方面對現有算法加以比較分析評價。