clustering technique 中文意思是什麼

clustering technique 解釋
群集技術
  • clustering : 叢聚
  • technique : n. 1. (專門)技術;(藝術上的)技巧,技能。2. 手法〈如畫法,演奏法等〉。3. 方法。
  1. This thesis expatiates on the state - of - the - art of dm technique, with emphasis on data mining algorithms such as clustering analysis, classification analysis, dependence analysis and statistical analysis. a comparative study of three popular dm tools ( ibm intelligent miner, spss clementine and sas enterprise miner ) is carried out. the future trends of dm technology are also revealed

    論文闡述了數據挖掘技術在國內外的研究現狀,對目前主要的數據挖掘演算法如聚類分析、分類分析、相關分析和統計分析進行了剖析,對當前最為流行的數據挖掘工具ibmintelligentminer 、 spssclementine及sasenterpriseminer進行比較分析,闡述了數據挖掘技術的未來發展趨勢。
  2. 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。
  3. Analyses of results are also given, comparative experiments show that the beat approach in this paper is better than conventional hierarchy clustering technique, and much better than multivariate statistical analyses such as principle component analyses on dimension reduction based feature encoding

    另外比較實驗結果表明文中的最好方法其系統性能好於目前廣泛採用的分層聚類技術,並遠好於多元統計分析技術,例如主成分分析的特徵降維編碼。
  4. 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。
  5. The first algorithm uses an iterative self - organizing data analysis technique and fuzzy clustering analysis theory. it is fast, simple and easy for programming, but more suitable for small system. the second one is a recursive algorithm

    首先採用模糊聚類分析中的迭代自組織數據分析技術( iterativeself - organizingdataanalysistechniquea ) ,提出了改進isodata不良數據辨識法;其次,提出了遞推不良數據辨識法。
  6. We develop our research on fuzzy pattern recognition from three aspects : one is the technique of fuzzy pattern recognition based on modified templet method, another is the measure based on fuzzy clustering, and the third is fuzzy neural network

    本文從三個方面開展對模糊模式識別方法的研究,即:基於改進樣板法的模糊模式識別方法( fpls ) 、基於模糊聚類的識別方法和模糊神經網路( fnn )方法。
  7. This paper discussed the clustering algorithms based on the longest frequent closed itemsets using frequent - pattern tree, concluded that in some situation it is inapproriate to using this technique to classifing data in data mining

    摘要針對採用頻繁模式樹構造的最長頻繁閉項集的聚類演算法,提出該演算法在一些特殊環境下可能產生的誤差,因而建議在一些應用情況下,不宜採用該演算法進行數據挖掘中的數據分類。
  8. In order to further video analysis, an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed, and it has the advantages of high precision as well as robust to fast move. caption segmentation is the key to the whole process, fcnn can also be utilized to locate caption region, however, the technique is time - consuming. thus an improved projection segmentation method is presented, and the experimental results show that it is simple and practical, and fits for real - time processing

    為了便於后續的視頻分析,提出了一種基於模糊聚類神經網路( fcnn )的鏡頭突變檢測演算法,實現視頻鏡頭分割,該演算法具有檢測精度高、對運動穩健等優點;區域定位是字幕提取的關鍵一環,同樣利用fcnn分類器可實現字幕定位,但其運算量大,定位精度不高,因此提出了一種改進的投影分割方法實現字幕區域定位分割,實驗表明其簡單實用,適于實時處理;考慮到單個字元背景相對簡單,為此提出了一種基於單字元的字幕二值化演算法,最終在經由字元分割、二值化及殘留背景像素清除之後,得到了清晰、高質的字幕圖像,字元識別結果證明了這一點。
  9. The combination of document clustering technique and web search engine has become a hot - spot in document mining area

    文本聚類技術和網路搜索引擎服務相結合,已經成為文本挖掘領域的一個熱點研究課題。
  10. But there are seldom researches in using document clustering technique into chinese web documents and cooperating with chinese web search engine services

    但是,把文本聚類技術應用於中文web文檔,與中文搜索引擎服務相結合的研究仍然比較匱乏。
  11. Clustering technique have been applied to a wide range of problems, including pattern cognition, data mining, decision - analyzing and prediction, etc., yet it is imperfect both theoretically and methodologically, even severe fault

    聚類分析雖已廣泛地應用於模式識別、數據挖掘、計算機視覺、模糊控制、決策分析和預測等許多領域,但它在理論和方法上仍不完善,甚至還有嚴重的不足之處。
  12. However, existing algorithms is still sensitive to data order. high effective, self - adaptive, interactively dynamic, incremental clustering algorithm should be studied. clustering technique in data mining will yet be faced with many problems and challenges

    目前的增量演算法尚未完全解決對數據順序的敏感性,高效、自適應性和交互性地動態地增量式聚類演算法有待進一步研究,數據挖掘中的聚類技術仍面臨著許多問題和挑戰。
  13. Document clustering techniques have been received more and more attentions as a fundamental and enabling tool for efficient organization, navigation, retrieval, and summarization of huge volumes of text documents. the aim of document clustering technique is to cluster different documents into different semantic classes based on their content in an unsupervised manner

    文本聚類作為一種對大規模文本信息進行有效組織、導航、檢索和概括匯總的基礎、關鍵技術而日益受到關注,其主要目的是以無監督指導的方式根據文本的內在關系將內容近似的文本分成不同的類。
  14. The new index system is a new index technique combining fuzzy clustering classification theory and a new algorithm. result shows that this new index technique can query correctly and quickly

    就浙江大學博士學位論文是結合模糊聚類分類理論與一種新演算法整合的新索引方法,結果表明,新索引方法具有快速查詢與正確的查詢結果。
  15. ( 4 ) seven kinds of spatial data clustering approaches are studied. and the technique to solve the problem of constraint - based spatial cluster analysis is explored. in addition, a new spatial clustering algorithm based on genetic algorithms is set forward and it can give attention to local constringency and the whole constringency

    ( 4 )系統研究了七種典型的空間數據聚類方法,積極探索基於約束條件的空間聚類問題的解決方案;將遺傳演算法引入空間數據聚類領域,提出一種基於遺傳演算法的空間聚類演算法,該演算法兼顧了局部收斂和全局收斂性能。
  16. This fact implies that the fractal algorithm is very effective and in practical. 2 ) by combining the tabu search and the clustering technique, we propose a hybird algorithm to solve the placement problems, both for the bbl and the gate - array placement. simulation results show that our hybird algorithm is of robustness and effectiveness, it is expected the algorithm is also uesful in other optimization problems. to testify the feasibility of using various computational intelligent algorithm, such as neural networks, genetic algorithm and ant colony system approach in solving a

    2 )首次將禁忌搜索演算法與結群技術相結合,並將其分別應用於門陣列布局和bbl布局中,計算機模擬結果表明該演算法魯棒性強、有效,適應性廣,適用於大規模門陣列布局和bbl布局問題, 3 )分別用神經網路技術、遺傳演算法和蟻群演算法對兩端線網布線問題進行了研究,並對結果進行了分析比較。
  17. In a clustered index, the leaf nodes contain the data pages of the underlying table. clustering a data mining technique that analyzes data to group records together according to their location within the multidimensional attribute space

    Unicode將定義一組字母、數字和符號, sql server將把它們識別為nchar 、 nvarchar和ntext數據類型。
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