clustering of patterns 中文意思是什麼
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Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis
此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。 -
This thesis includes four parts in which the technologies of web usage mininig are systematically researched. in the first part we summarize the techniques of data mining and web usage mining, present the significance of the research on web usage mininig, the status of research and the problem which web usage mininig will face with. in the second part we discuss the web usage mininig according to the process of web mining. in the stage of data preparing and preprocessing we discuss the algorithm of data cleaning, user and session identification in detail, and present a data model of association rules and sequential patterns in the stage of pattern discovery, discuss the useful method of pattern analysis in last stage. a synthesis clustering algorithm cppc is proposed in the third part of this thesis
本文分主要從以下四個方面對web使用挖掘進行了系統的分析和研究。第一是對數據挖掘和web挖掘進行了概述，闡述了web挖掘的意義、研究的現狀、面臨的問題。第二是討論了web使用挖掘的三個階段：在數據準備和預處理階段重點討論了數據清洗及用戶和會話識別演算法；在模式發現階段定義了關聯規則和序列模式的數據模型；模式分析階段則討論了現行的幾種分析方法。 -
The colors of woven fabric patterns are identified automatically by using the combined technique of a fuzzy c - means clustering algorithm and template matching, and the colour images of color - yarn arrangements and the woven fabric images classificated in colors are obtained, which can be used for fabric pattern recognition and template matching identifition
摘要採用模糊聚類與模板疊合判定技術相結合的方法實現了色織物組織點顏色的自動判析，得到色紗的排列圖和顏色分類后的織物圖像，可用於進一步的組織識別和疊合驗證。 -
In this paper, the near - infrared spectral measurement and principal component analysis ( pca ) of simulated spilled petroleum samples are made, the princpal component scores are taken as the cluster characteristic variables for making fuzzy clustering, the near infrared spectrometry and pca together with fuzzy clustering method are then used for rapid recognition of simulated spilled oils, and the sample clustering and recognition patterns are established
摘要對模擬溢油的石油類樣品進行近紅外光譜檢測並進行了主成分分析，以主成分得分作為聚類的特徵變量進行模糊聚類，採用近紅外光譜測量結合主成分分析和模糊聚類法快速識別模擬溢油種類，並建立了樣品聚類與識別模型。 -
And it adds a - priori information into the patterns to change the method as a semi - supervised clustering. in the clustering process, the unlabelled patterns compare similarities with the labeled patterns, and then the accuracy of the algorithm can be increased. ( 3 ) the paper proposes an interactive learning - based image mining in remote sensing
由於遙感圖像各類別在特徵空間中散點圖的分佈的特點，本文對傳統的fcm聚類演算法進行改進，並且加入先驗信息之後，將原來的非監督的聚類變成一種半監督的聚類方法，通過與已標簽的樣本進行相似性比較，能有效地提高聚類演算法的準確度。 -
By clustering of traffic flow time series, the typical traffic fluctuation patterns can he found
摘要採用聚類分析方法對交通流時間序列進行分析可以發現典型的交通流變化模式。
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