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Discovering Knowledge in Data: An Introduction to Data Mining, 2nd Edition by Daniel T. Larose

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Index

  • Adaptation in Kohonen networks
  • Affinity analysis
  • Agglomerative methods
  • Analysis of variance (ANOVA)
  • Anomalous fields
  • Antecedent
  • Appendix: Data Summarization and Visualization
    • attribute
    • bar chart
    • bivariate relationship
    • boxplot
    • case
    • categorical variable
    • census
    • class limits
    • class width
    • clustered bar chart
    • contingency table
    • continuous variable
    • correlation coefficient r
    • count
    • cumulative frequency distribution
    • descriptive statistics
    • deviation
    • discrete variable
    • distribution
    • dotplot
    • element
    • Empirical Rule
    • five-number summary
    • frequency
    • histogram
    • individual value plot
    • interquartile range (IQR)
    • interval data
    • IQR method of detecting outliers
    • left-skewed
    • levels of measurement
    • marginal distribution
    • mean
    • measures of center
    • measures of position
    • measures of variability
    • median
    • midrange
    • mode
    • nominal data
    • numerical variable
    • observation
    • ordinal data
    • parameter
    • Pareto chart
    • percentile
    • percentile rank
    • pie chart
    • population
    • population mean
    • population standard deviation
    • population variance
    • predictor variable
    • qualitative variable
    • quantitative variable
    • quartile
    • random sample
    • range
    • ratio data
    • record
    • relative frequency
    • relative frequency distribution
    • response variable
    • right-skewed
    • sample
    • sample mean
    • sample standard deviation
    • sample variance
    • scatter plot
    • skewness
    • statistic
    • statistical inference
    • stem-and-leaf display
    • subject
    • summation notation
    • symmetric
    • unbiased estimator
    • variable
    • Z-score
  • Application of clustering using Kohonen networks
  • Application of k-means clustering using SAS Enterprise Miner ...

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