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  1. Data_Preparation_for_data_Mining_Using_SAS

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  2. A.1 Copyright and Software License A.2 Dependencies between Macros A.3 Data Acquisition and Integration A.3.1 Macro TBRollup() A.3.2 Macro ABRollup() A.3.3 Macro VarMode() A.3.4 Macro MergeDS() A.3.5 Macro ContcatDS() A.4 Integrity
  3. 所属分类:software engineering

    • 发布日期:2017-05-10
    • 文件大小:2.24mb
    • 提供者:paul
  1. k-means

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  2. Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines this reflects its
  3. 所属分类:Document

    • 发布日期:2017-04-03
    • 文件大小:803byte
    • 提供者:nadjia
  1. LISREL

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  2. 本书主要讲述了以健身调查数据示范数据的清理和准备、多元回归分析.、用美国经济数据构建二阶最小二乘模型、以心理学数据为例示范探索性因子分析-This book focuses on the health survey data to model the data cleaning and preparation, multiple regression analysis, with building a second U.S. economic data, least squares models
  3. 所属分类:software engineering

    • 发布日期:2017-04-05
    • 文件大小:659.23kb
    • 提供者:李娟
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