k means method 中文意思是什麼

k means method 解釋
逐步聚類法
  • k : （pl Ks K s; ks k s ）1 英語字母表第十一字母。2 K字形物體[記號]。3 一個序列中的第十一〈若 J 略去...
  • means : 偏差測量系統
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. K means method

    逐步聚類法
  2. This paper studies using the k - means clustering algorithm to classified the obtained image, submits through two phases to retrieve the image and adjusts the weight using the relevant feedback method

    本文研究利用k均值聚類方法對檢索得到的圖像進行分類，通過兩階段提交對圖像進行篩選，並利用相關反饋方法來調整權重。
  3. The property of the recall - precision curve of a general retrieval algorithm and the k - means clustering method are used to realize the expansion according to the distance of image features of the initially retrieved images

    擴展主要利用了一般檢索演算法的查準率查全率曲線特點，對原始查詢結果的圖像特徵距離應用k -均值聚類演算法，確定多個查詢示例圖像。
  4. Finally, according to the practical requirement of classification management to credit risk management, it uses k - means clustering method to cluster the evaluation result, and then get the credit ranks the small and middle enterprises belong to

    最後，根據對信用風險管理應實行分級管理的實踐要求，利用k -平均聚類劃分法對信用風險評估結果進行聚類劃分，從而得到各中小企業所屬于的信用風險等級。
  5. The reason why we integrate them is that k - means algorithm is a mountain climbing method, which is easy convergent to local extremum, and sensitive to the original condition, but its convergent speed is relatively fast, and that genetic algorithm is a random searching method, which can find the whole extremum in a rather big probability, and non - sensitive to the original condition, but its convergent speed relatively slow

    之所以將：二者結合在一起，是回為k一均值演算法是一種爬山法，容易收斂到岡部極小值，對初始條件較敏感，但收斂速度較快，而遺傳演算法是卞dl隨機搜索演算法，能夠以較大概率找到全局最憂解，且對們始條件個敏感，但收斂速度較慢。
  6. At the same time, we optimize the method by initializing the snmf with the spherical k - means and the nnls ( non - negative least squares ). by combination of snmf and the method lpi ( locality preserving indexing ), we get better performance in clustering accuracy

    同時採用球形k -平均演算法和nnls （非負最小平方差）演算法的結果初始化snmf演算法以達到改進和優化snmf演算法的目的;通過結合snmf演算法與lp （ i局部保留索引）演算法以實現在無監督的方式下取得更準確聚類結果的演算法。
  7. The background subtraction method is used to retrieve the foreground, and the mixture gaussian model is used to model the background, during the modeling, the improved k - means algorithms is applied to improve the speed of background modeling ; 2. in the process of the background updating, the updating algorithms based on statistical average is used to update the background, compared to the traditional background updating methods, it improves the speed of the background updating ; 3. to solve the problem that the detection method based on gaussian shadow model detects the shadow inaccurately under some situations, a novel algorithm based on the body color vector matching is presented to detect and eliminate the shadow

    本文在總結和分析了國內外相關研究工作的基礎上，針對運動物體檢測與提取中如何檢測與提取前景區域以及如何檢測與去除陰影的問題開展研究，其主要研究內容和成果如下: 1 .採用背景減除法提取前景區域，利用混合高斯模型進行背景建模，建模過程中，引入了改進的k -均值演算法，加快了背景建模的速度，提高了背景建模的質量; 2 .在背景更新的過程中，採用了基於統計平均的更新演算法，相對于傳統的背景更新方法，提高了背景更新的速度; 3 .針對運動物體陰影檢測與去除中，基於高斯陰影模型的陰影檢測方法在某些情況下對陰影檢測不準確的問題，提出了一種基於體色向量匹配的陰影檢測與去除演算法。
  8. The gray level maximum has not been changed in the classical fuzzy enhancement method proposed by s. k. pal, so this kind of image enhancement method is not fit for the enhancement problem of degraded images with less gray levels and low contrasts ; the fact that the value domain of membership function of gray levels is not normalization form, i. e. [ 0, 1 ], is another disadvantage of the traditional fuzzy enhancement means

    但是由pal提出的經典模糊增強方法並沒有改變圖像灰度等級的上界，所以這種增強方法不適合於灰度等級少、對比度低的圖像增強問題，並且這種經典模糊增強方法的隸屬度函數值域不具有通常的規范形式，即[ 0 ， 1 ]區間。
  9. In the field of clustering, by comparing some clustering methods and analysing characteristic of science data, we propose an improved hierarchical clustering method synthetic idea of k - means method

    在聚類方面，經過比較各種聚類演算法和分析科學數據的特點，提出了結合k -平均思想的改進型系統聚類演算法。
  10. This network ’ s structure is similar to the rbf neural network rather than the conventional ellipsoidal unit neural network. in the new network, the ellipsoidal unit functions are used in the hidden layer, and the weights between the hidden nods and the output nods are all connected. a method of rough k - means is used for obtaining the centers of ellipsoidal basic functions and the way of deciding the threshold

    本文改進了一種橢球單元神經網路，它與經典橢球網路的結構不同，而與rbf神經網路結構類似:它的隱層節點採用橢球單元函數，代替了rbf網路的高斯基函數，並且用粗糙k -均值方法求取橢球基函數的中心，給出了確定初始閾值的方法。
  11. When the stability of water turbine regulation system is analysesed, at first, the mathematical model of the regulation system must be established ; then the space matrix must be build by means of transfer matrix ; third, this mathematical model must be simulated by computer ; and at last, the differential equation must be solved by the method of r - k

    在對水電站水輪機調節系統進行穩定性分析時，首先應建立調節系統數學模型，利用傳遞矩陣法構建空間矩陣，再進行計算機動態模擬，並採用r ? k法求解微分方程。
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