Understanding K-Means Clustering
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Understanding K-Means Clustering

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Questions and Answers

What is the purpose of Descriptive Statistics?

  • To transform data to extract patterns (correct)
  • To visualize data in 3D
  • To predict future data points
  • To estimate data outliers

    • Which of the following is NOT a measure of Central Tendency?

  • Median
  • Mean
  • Mode
  • Variance (correct)

    • What does the Median represent?

  • The value that splits the data in half (correct)
  • The value with the highest weight
  • The most frequently occurring value
  • The average of all values

    • What is the purpose of Dimensionality Reduction in data analysis?

    <p>To reduce the number of attributes/features while preserving important information</p> Signup and view all the answers

    What does skewness indicate about a dataset?

    <p>If a dataset is right-skewed, left-skewed, or normally distributed</p> Signup and view all the answers

    How are outliers typically identified in a dataset?

    <p>Values above the 3rd quartile + 1.5 times the interquartile range</p> Signup and view all the answers

    Which statistical concept helps us understand the linear relationship between attributes?

    <p>Correlation</p> Signup and view all the answers

    What does Pearson's r value signify when it comes to correlation?

    <p>A value of 0 indicates no correlation between attributes</p> Signup and view all the answers

    Which attribute is used to describe the central tendency of categories?

    <p>Mode</p> Signup and view all the answers

    What is an effective way to measure the spread or dispersion of data?

    <p>A combination of variance, standard deviation, and ranges</p> Signup and view all the answers

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