clustering criteria 中文意思是什麼
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And then, some common methods of gdm, such as the ahp method, the weighted geometric mean method ( wgmm ), the borda - kendall method, the minimum variance ( mv ) method, the clustering analytic method, the cook - seiford distance measure, cb measure, the maximum and the minimum expected values, the concordance and discordance indices, etc., are used to discuss some consensus problems of gdm, including the consistency of the complex judgment matrix in ahp, the consensus methods of the aggregation of individual preferences ; the aggregation of analytic hierarchy process methods based on similarities in decision makers " preferences, a consensus measure on multiple criteria group decision making
接著本文採用了群體決策中常用的一些方法（如： ahp法，加權幾何平均法， borda - kendall方法，最小方差法，聚類分析法， cook - seiford距離測度法， c _ b測度法，最大最小期望值法，一致性非一致性指標法等）對群體決策中的幾個一致性問題進行了研究，這些問題包括： ahp中復合判斷矩陣的一致性，個體偏好序集結的一致化方法，基於決策者偏好相似性的層次分析模型的集結中的一致性問題和多準則群體決策的一致性測度。 -
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
傳統的基於聚類準則的聚類演算法本質上是一種局部搜索演算法，它們採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、演算法框架等不同角度來考察並區分這些演算法，然後從混合聚類方法、增量聚類、自動化和可視化等技術方面對現有演算法加以比較分析評價。 -
After the discussion of several kinds of optimum threshold segmentation methods, a multi - feature vector space and three new criteria ( global comparison detection, geography priority privilege, equal opportunity for competence ) are developed for region growing control, a new region growing method is brought forward. at last the region splitting and merging, region clustering, neural networks, snake active contour model et al have been discussed
提出了全局比較探測、面積測定及空間優先、競爭機會均等三個有效的準則，利用灰度、紋理多特徵矢量改進了傳統的區域增長演算法，並對紋理分析，神經網路分割和snake活動輪廓分割進行了有益的探索。
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