clustering principle 中文意思是什麼

clustering principle 解釋
聚類抽樣原理
  • clustering : 叢聚
  • principle : n. 1. 原理，原則。2. 主義；政策；〈常 pl. 〉道義；節操。3. 本質，本體，根源；本原，源泉。4. 本性，本能；天然的性能；天賦的才能；動因，素因。5. 【化學】素，要素；精。
  1. The thesis discuss the data mining principle and technology from application and the fact of guizhou telecom. by uniting the designing and developing processes, the system cleanout, change, loading the volume custom operation data into the data warehouse that used many analyst methods such as clustering analyst, forecast analyst to make the function of subdividing custom colony and running and improved the competition core ability of enterprise

    同時，針對貴州電信海量的客戶運營數據，經過清洗、轉換、整合到數據倉庫中，採用了多種分析方法，如聚類分析、預測分析，實現了客戶群細分、客戶流失預測等功能，極大的提高了貴州電信核心競爭力。
  2. As concerned as multiple elements relativity, the concept of variable group and variable group formicate are put forward. of course, the paper gives the fuzzy cluster arithmetic principle, process and clustering chart

    在此過程中介紹了利用模糊聚類的有關演算法原理和計算步驟，並給出了模糊聚類分析圖，以及變量組和變量組集的概念。
  3. First, we have expatiated the working principle, performance parameters and major technologies. farther, we have analyzed the shortcomings of the existing catalog search engine and introduced the clustering analysis and the ant algorithm ; on the basis of this, we discussed the possibility and necessity of the connection between them, which avoids the local optimization of the clustering analysis to a degree. in the end, we appraise the idea that we deal with the information data by the data structure of the binary tree, m - branch tree and tree established by the ant algorithm, which can improve the efficiency of the search engine

    首先闡述了搜索引擎的工作原理，性能指標，主要技術；分析了現有目錄式搜索引擎的缺點，接著介紹了聚類分析演算法與螞蟻演算法的理論，並論述了二者結合的可能性和必要性，這種結合方法也在一定程度上克服了聚類分析演算法容易陷入局部最優的缺點，最終提出了通過使用螞蟻演算法建立二叉樹、 m叉樹和樹作為信息數據處理的思想，大大提高了搜索引擎搜索的效率。
  4. If it is not good enough, optimal control module based on principle component analysis and clustering search will function for optimization. this algorithm makes no request for accurate analytical model and maintains search efficiency and self - adjusting performance by an optimal parameter set derived from process data, which is proved to be effective. by practical running of dcs, a prominent tracing performance is gained and variation of parameters is limited in a small range, which enhance stability and production benefit of sintering process obviously

    燒結過程是一個影響因素復雜、干擾嚴重、具有不確定性的工業過程，傳統的基於對象精確解析模型的優化策略難以奏效，因此在控制參數優化模塊中提出了一種基於主元分析和聚類搜索的優化匹配演算法，該演算法不要求對象的精確模型，其搜索效率和自校正性能依賴于從生產過程歷史數據中抽取的優化參數樣本庫，充分利用了燒結生產過程積累的生產數據所包含的信息，取得了不錯的效果。
  5. 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。
  6. At the first step of the algorithm, based on the theory of principal component analysis, a modified principal component analysis ( mpca ) approach is adopted to reduce the dimension of data horizontally, then after comparing existing clustering algorithms, an immune clustering algorithm is put forward based on similarity measurement of principle component core for vertical reduction by using related mechanism of clone selection as well as immune network self - stabilization in natural organic immune system for reference

    在進行樣本參量的降維處理時，基於主元分析的思想，採用一種改進的主元分析（ mpca ）方法用於橫向數據壓縮，在壓縮樣本數量時，綜述和比較了現有的各種聚類演算法，借鑒生物體自然免疫系統中克隆選擇以及免疫網路自穩定等有關機理，提出了基於主元核相似度的免疫聚類演算法用於縱向數據壓縮。
  7. At the realization of the system, we analyze the integral structure and working principle of our system at first. then, we show the relationship among tables in core database. lastly, we study automatic document categorization algorithm and propose algorithm descriptions and experiment results of chinese language segmentation, schema matching of paper titles and clustering

    在系統實現部分分析了系統的整體結構和工作原理，介紹了系統核心數據庫中各表的聯系，最後重點研究了文檔自動分類演算法，給出了漢語分詞演算法、論文標題模式匹配演算法、聚類演算法的演算法描述及實驗結果。
  8. This thesis is based on the theory of the unexpected release of energy in safety system engineering and applies the relevant principle in risk assessment. three kinds of methods, such as dow fire & explosion index, ici / mond index, grey clustering procedure and three mathematical models, such as bleve accidental model, vce accidental model, the model of leakage & diffusion of posionous gases are applied to the risk asssessment of lpg terminal

    本文以安全系統工程中的能量意外釋放理論為理論基礎，根據安全評價的相關原理，綜合運用三種方法：道氏火災爆炸指數法、 ici mond法、灰色聚類法以及三個模型： bleve事故傷害模型、 vce事故傷害模型、有毒氣體泄漏擴散模型，對液化石油氣碼頭的儲運進行了風險綜合評價。
  9. In this paper, we first introduce the development of the privacy preservation and the principle of clustering, then emphatically propose the generic algorithm of gdtm ( geometric data transfer method )

    討論了數據挖掘中的隱私保護問題，提出了一種幾何數據轉換方法，並將其用於聚類數據挖掘中的隱私保護。
  10. This recognition method integrates traits of nearest neighbor method and k - neighbor method. its basic principle is to improve recognition reliability with tow additive thresholds. in addition, ternary threshold neighbor recognition method ’ s fast arithmetic based on c - average clustering and huffman tree is put forward

    2 .本文在經典統計模式識別方法的基礎上，結合了最近鄰識別法和k近鄰識別法的特點，給出一種三閾值近鄰識別方法，其基本原則是在尋找未知樣本的近鄰時，通過附加閾值的限制，進一步提高識別的可靠性。
  11. Clone principle is led into evolutionary computing, and a hybrid algorithm is combining antibody clone strategy with fuzzy c - means clustering method is given. it is used in intrusion detection

    提出將人工免疫與模糊c -均值聚類技術相結合進行聚類，從而實現對異常行為的檢測的演算法。
  12. ( 1 ) hsmbk, it uses the bisect partition principle and adopts a new method to count the comparability - - " binary feature sparse otherness ". we apply the thought of choosing excellent element to the method of calculating the center of clustering for reducing the effect of the isolated points. at last, we bring forward jw rule based on the enlighten idea

    （ 1 ） hsmbk演算法，利用了對稱劃分原理；採用了一種新的計算相似性方法- -布爾特徵稀疏差異度；將選優思想應用到聚簇中心的計算，形成一種新的中心計算方法，減少了孤立點的影響；採用啟發式思想提出了jw準則，為k值的選擇提供依據。
  13. Discussed the principle of preprocessing technology, studied the method of preprocessing with practice, talked the technology of transacting null value data, uniformization of data, deleting and constrcting of attribute, and the method of reduction using clustering

    摘要闡述了數據挖掘預處理技術的原理，結合教學實踐研究了預處理的各種方法與技術實現，探討了空缺值、不一致數據的處理，以及屬性刪除與構造，聚類技術進行歸約的方法。
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