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cluster analysis method中文是什么意思

  • 聚類分析法

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  • 例句與用法
  • The hierarchical-based method is one of the clustering analysis methods to deal with big size data sets . with the limited resource, such as memory, cpu, and so on, it can get the best clustering result by use some algorithm structure
    在聚類分析方法中，基于層次的方法是處理較大數(shù)據(jù)集中較為常用的方法之一，該類方法在有限的資源(如內(nèi)存、cpu)下，通過采用一定的算法結(jié)構(gòu)，得到盡可能好的聚類結(jié)果。
  • I make comprehensive appraisal on the economic development of 17 areas in hubei, analyze the economic status in hubei of every area on the base of principle components analysis, and make use of cluster analysis method to appraise the grade of economic status of every urban area
    摘要本文運用主成分分析法，對湖北省17個市區(qū)的經(jīng)濟發(fā)展情況做出綜合評價，分析了各市區(qū)在湖北省的經(jīng)濟地位，并利用聚類分析的方法來評價各市區(qū)經(jīng)濟地位等級。
  • According to 2005 statistics anhui statistical yearbook, this article separately carried on the quality synthetic evaluation, the classification using topsis and the clustering analysis method to the anhui province 17 locally administratered level agricultural economy level of development, analyzed each locally administratered level's in anhui agricultural economy development status, was for the purpose of carrying on the agricultural economy quality synthetic evaluation for other areas to provide the reference
    摘要根據(jù)2005年《安徽統(tǒng)計年鑒》的統(tǒng)計資料，運用topsis和聚類分析方法分別對安徽省17個地級市農(nóng)業(yè)經(jīng)濟發(fā)展水平進行了綜合評價和分類，分析了各地級市在安徽農(nóng)業(yè)經(jīng)濟發(fā)展中的地位，旨在為其它地區(qū)進行農(nóng)業(yè)經(jīng)濟綜合評價提供參考。
  • (4 ) based on the qualitative analysis results of geology and employing grey-clustering analysis method, the quantitatively discriminating pattern of the size of remaining oil potential is founded . through selecting feature indices and setting up brighten function and clustering weightiness of these indices, we can identify the most potential area ( s ) quantitatively
    通過合理選擇表征剩余油潛力的特征指標、建立特征指標的白化函數(shù)及其判別模式，對評價對象的各類潛力指標進行灰聚類分析，最終指出評價對象所屬的潛力級別。
  • To the common requirement of invisibility of the two, the paper presents a information hiding strategy which first uses cluster analysis methods ( this paper uses k-means algorithm ) to classify the image to get the nature of the image, and then uses one embedding algorithm, accounting the improvement on the conceal effect using image's character
    接著對信息隱藏技術(shù)的兩個重要分支隱寫術(shù)與數(shù)字水印技術(shù)，闡述其各自特點及異同點，針對二者在不可見性上的共同要求，從利于圖像自身的特性增強掩密效果的思路出發(fā)，提出先用聚類分析的方法(本文采用了k-均值算法)對圖像的像素點進行分類以充分發(fā)掘圖像自然的內(nèi)在特性，再結(jié)合嵌入算法的信息隱藏策略。
  • Due to the fact that the models for resource characteristics vary a lot, this paper will first utilize quantified model and cluster analysis method from multi-variate analysis methods to conduct classification, then quantified model will be used to examine the extent of impact that can be exerted by conditions of recreational site to recreational demand
    由于資源特性之種類繁多，因此本文先利用多變量分析方法中之數(shù)量化模型及群落分析法進行分類，以?解各游憩據(jù)點類型之特性，再透過數(shù)量化模型探討游憩據(jù)點條件對游憩需求之影響程度。
  • Finally, the paper classified the oil freight market index system into prior index group and posterior index group with cluster analysis method, furthermore, the prior index group and posterior index group were changed into 5 main factors with factor analysis method, which including prior synthesis factor, oil demand factor, oil price factor, invalid tonnage factor, tonnage supply factor . by using these 5 factors, we can analysis the oil freight market more clearly and effectively
    最后，本文確立了油運費率市場指標體系，應用聚類分析方法將其劃分為先行指標組和滯后指標組，并進一步應用因子分析方法，將先行指標組和滯后指標組轉(zhuǎn)化為五個主成分因子：先行綜合因子、石油需求變化因子、石油價格變化因子、無效運力因子和運力供給因子，找出了影響油運費率市場變化的主要因素，應用這五個主成分因子可以對油運費率市場進行更加清楚、有效的分析。
  • Secondly, the thesis bring ups to make use of mathematics clustering analysis method, combine with analysis the accident occur rate of each occupation ( business enterprise ), the death rate of employment injury, the severely wounded rate of employment injury, the slight wound rate of employment injury, the death rate of occupational disease, the occur rate of occupational disease and the circumstance of employment injury overhead and so on, to classify the risk grades of occupation ( enterprise ) . according to the clustering consequence, the grade differential rate of the
    其次，論文運用數(shù)學聚類分析方法，結(jié)合各行業(yè)（企業(yè)）的事故發(fā)生率、工傷死亡率、工傷重傷率、工傷輕傷率、職業(yè)病死亡率、職業(yè)病病傷率以及工傷費用支出情況等指標進行行業(yè)（企業(yè)）風險等級分類。根據(jù)分類結(jié)果，合理確定各行業(yè)風險等級差別費率。再次，論文通過對國內(nèi)外現(xiàn)行工傷保險費率浮動方法的研究，提出了結(jié)合企業(yè)千人死亡率、千人重傷率、千人輕傷率和支收率指標來確定企業(yè)費率浮動的方法。
  • From the main indexes of new industrialization, applying principal component analysis and cluster analysis methods, the article made a comprehensive and objective comparative analysis on the level of new industrialization of 31 regions and put forward countermeasures to improve the balanced growth of the new industrialization of different regions in accordance with their respective advantages and disadvantages
    從新型工業(yè)化的主要指標出發(fā),應用主成分分析和聚類分析兩種方法,對全國31個地區(qū)的新型工業(yè)化水平進行了全面、客觀的比較分析,并根據(jù)各自的優(yōu)勢與劣勢提出了促進各地區(qū)新型工業(yè)化均衡發(fā)展的對策。
  • Using the cluster analysis method and studying 16 sampling plots of shrub grassland where bothriochloa ischaemum is the dominant species, and the plots'grass frequency, grass coverage, density, height, and biomass, we graded the plots into five grazing stages : light, proper, moderate, serious, and extreme
    摘要在對放牧利用下的白羊草灌叢草地頻度、蓋度、密度、高度、生物量等數(shù)量特徵調(diào)查基礎上，運用系統(tǒng)聚類分析方法，可戒分為輕放、適牧、中牧、重牧和極牧五個階段。
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