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Table Of Contents

  • Algorithms
  • Algorithms by Classification
  • Algorithms by Tool
  • Single Steps
    • Data Cleaning
      • Comprehensive Data Cleaning
      • Data Denoising
      • Handling Improper Values
      • Outlier Detection
        • Box Plot
        • Chi-Squared Test
        • Dixon-type (Q) tests
        • Grubbs’ Test
        • Hampel Identifier
        • K-Means Clustering
        • Maximum Likelihood
        • One-sided Median
        • Tietjen-Moore Test
        • Trimmed Mean
        • Two-sided Median
    • Data Discretization
    • Data Import”
    • Data Integration
    • Data Reduction
    • Data Transformation
    • Mathematical Computation
  • Single Steps by Classification
  • Reference Processes
  • Changelog

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Reconstructing Improper Values with Local Centered Moving Weighted Mean

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Outlier Detection with Box Plot

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Outlier Detection¶

Sub-Categories

  • Box Plot
  • Chi-Squared Test
  • Dixon-type (Q) tests
  • Grubbs’ Test
  • Hampel Identifier
  • K-Means Clustering
  • Maximum Likelihood
  • One-sided Median
  • Tietjen-Moore Test
  • Trimmed Mean
  • Two-sided Median

Navigation

  • index
  • next |
  • previous |
  • Data Processing Compendium - Workflows for Knowledge Exploitation in the Process Industries 2.0 »
  • Single Steps »
  • Data Cleaning »
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