cluster shape 中文意思是什麼

cluster shape 解釋
聚類形態
  • cluster : n 1 叢集；叢；（葡萄等的）串，掛；（花）團；（秧）蔸；組。2 （蜂、人等的）叢，群，群集。3 【物理...
  • shape : Shape＝Supreme Headquarters Allied Powers in Europe （北大西洋公約組織的）歐洲盟軍最高司令部。n 1...
  1. The experimental result shows that the ksom method can cluster the data with non - spherical shapes such as annular shape, and the cluster precision can reach 99. 8864

    實驗結果表明，核自組織映射聚類對于非橢圓型的類分佈數據，如環形數據，聚類正確率也能夠達到99 . 8864 % 。
  2. 3 the relationship between cluster and building group in shape. 4 > integration research of cluster space. 5 analysis in practice.,

    依照文章順序分別從形成觀、形態觀、整合觀三個方面來研究簇群空間。
  3. Study cluster from development shape and integration three angle in sequence

    形成觀：古鎮簇群空間的發展與起源。
  4. Shape angle : in the second and third chapter, concentrating the cluster space composes. form two different angel - " street and lane " and " building group ", we main base on the space shape and emphases the physical space

    並在形態研究中，重點將簇群空間分為兩個部分來探討，即街巷空間和建築組群，分別從不同角度來剖析古鎮簇群形態。
  5. A newly made amino acid chain folds into a distinctive shape depending on the positioning of hydrophobic amino acids, which like to cluster together away from the cell ' s watery cytoplasm, leaving hydrophiles to form the protein ' s surface

    剛合成好的胺基酸長鏈，會根據疏水性胺基酸的分佈位置，摺疊成蛋白質的獨特形狀：疏水性胺基酸彼此向內聚攏，避免接觸到富含水的細胞質環境；親水性胺基酸則向外翻出，構成蛋白質的表面。
  6. This algorithm adopts a middle ground between centroid - base and all - points - based approaches. instead of using a single centroid or all points to represent a cluster, a fixed number of representative points in space are chosen, these points represent and capture the geometry and shape of the cluster. in addition. the representative points of a cluster are generated by first selecting well - scattered objects for the cluster and then " shrinking " or moving them toward the cluster center by a specified fraction, or shrinking factor. the shrinking helps dampen the effects of outliers. therefore, cure is more robust to outliers

    該演算法選擇基於質心利基於代表對象方法之間的中間策略，它不用單個質心或簇中全部對象米代表一個簇，而是選擇數據空間中定數目的只有代表性的點，這些點代表和捕捉到了簇的形狀。此外，由於引入了收縮因子使代表點向簇小心「收縮」而使該演算法能夠較好地消除孤立點的影響，在處理孤立點上也更加健壯。
  7. The main results of our paper are as follows : present a chinese text clustering model ; obtain a chinese text algorithm which can select better initial point and a dbtc clustering algorithm which can identify cluster with any shape

    本文獲得的主要結果：提出了一個中文文本聚類模型，提出一種選取初始聚類中心的中文文本聚類演算法和一種能發現任意形狀簇的dbtc聚類方法。
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