cluster and discriminant analysis 中文意思是什麼

cluster and discriminant analysis 解釋
聚類判別分析
  • cluster : n 1 叢集；叢；（葡萄等的）串，掛；（花）團；（秧）蔸；組。2 （蜂、人等的）叢，群，群集。3 【物理...
  • and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
  • discriminant : n. 【數學】判別式。
  • analysis : n. （pl. -ses ）1. 分解，分析；【數學】解析。2. 梗概，要略。3. 〈美國〉用精神分析法治療（＝ psychoanalysis）。
  1. Literatures indicate that logit model, logistic model, probit model, mlr, cluster model, option model, proportion risk model, and discriminant analysis are the main effective methods and models when researching the determinants of residential mortgage default risk

    通過梳理文獻發現， logit模型、 logistic模型、 probit模型、多元線性回歸、聚類模型、期權模型和比例風險模型、判別分析是研究個人住房抵押貸款違約風險影響因素時採用的主要方法和模型。
  2. Indicators reacting to crisis phenomena are designed with the result of risk classification and reason analysis. with the help of indicators, empiristic analysis establishes the types of risks in government obligation of all counties and constitutes discriminant model and logistic model using six factors, which is derived by cluster analysis and factor analysis

    利用警情指標和警兆指標進行實證分析，確定了各區縣政府債務風險類別，通過聚類分析和因子分析得出六個主因子，建立了判別模型和logistic模型，給出警限。
  3. This article develops a few methods to consummate previously established urban vegetable product pollution control system, the methods can be described briefly by " two - lines - one - dot - timely - monitoring and pre - warning ", i. e. on the basis of previously urban vegetable product pollution control system which has been established by multivariate statistical methods, this article uses two - step cluster analysis for vegetable product pollution space to cluster and makes use of nonparametric discriminant analysis for its pollution state to identify

    摘要本研究提出「兩線一點實時監測預警」的一套方法來完善已經建立的城市蔬菜品種污染監控系統，即在由多元統計法建立的城市蔬菜品種污染監控系統研究基礎上，利用分步聚類法對蔬菜品種污染空間進行分步聚類，同時採用非參數判別法對兒污染狀態進行識別分析。
  4. Spss 10. 0 software is used to do factor analysis, discriminant analysis, cluster analysis and logistic model by using those investigated data

    筆者利用spss10 0統計軟體中的因子分析、判別分析、聚類分析和logistic模型對調查數據進行了分析。
  5. Statistical techniques, including multi - regression, cluster analysis, and discriminant analysis, were employed to test ten null hypotheses

    本研究以世界銀行發展報告書的統計為依據，共選定1970年、 1975年、 1980年、 1985年、 1990年、 1995年各國高等教育在學率為分析資料。
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