Clustering Techniques and Dendrogram Analysis
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Questions and Answers

What technique is used for grouping individuals or objects into unknown groups in cluster analysis?

  • K-means clustering (correct)
  • Hierarchical clustering
  • Discriminant analysis
  • Non-hierarchical clustering
  • Which diagram is recommended before performing clustering to display the main characteristics of underlying clusters?

  • Profile diagram
  • Bar chart
  • Box plot
  • Scatter diagram (correct)
  • What is a helpful technique for a moderate number of variables in cluster analysis?

  • Pie chart
  • Histogram
  • Profile diagram (correct)
  • Scatter plot
  • Which distance measure is commonly used in clustering based on distances between observations and clusters?

    <p>Manhattan distance</p> Signup and view all the answers

    In cluster analysis, what type of data checking is advisable due to sensitivity to outliers?

    <p>Checking for outliers/errors</p> Signup and view all the answers

    What can yield different clusters in cluster analysis?

    <p>Applying different distance measures</p> Signup and view all the answers

    What is the purpose of the centroid method in clustering?

    <p>To find the center point of a cluster</p> Signup and view all the answers

    In clustering, what does a large increase in distance in the dendrogram indicate?

    <p>An unnatural joining of clusters</p> Signup and view all the answers

    Why might it be desirable to perform principal components analysis or factor analysis before clustering?

    <p>To facilitate the interpretation of clustering results</p> Signup and view all the answers

    What is a common approach to evaluate clustering results when different runs produce varying outputs?

    <p>Compare results from different runs and reach a consensus</p> Signup and view all the answers

    Why is it recommended to split data and run clustering on both halves to see if they yield similar results?

    <p>To evaluate the stability and reliability of clustering results</p> Signup and view all the answers

    What is a key aspect to consider when trying different clustering methods and number of clusters?

    <p>Evaluating whether the results are intuitive</p> Signup and view all the answers

    What is the purpose of standardizing variables in clustering when they have different units of measurement?

    <p>To minimize the 'dominant size' effect</p> Signup and view all the answers

    In hierarchical clustering, what happens in each successive step in agglomerative methods?

    <p>The number of clusters is reduced by one</p> Signup and view all the answers

    What is the key concept behind the centroid method in agglomerative hierarchical clustering?

    <p>The distance between group centroids</p> Signup and view all the answers

    What is the primary approach used to split clusters in divisive hierarchical methods?

    <p>Splitting off observations dissimilar to the remaining ones</p> Signup and view all the answers

    Why might hierarchical procedures mislead investigators in clustering analysis?

    <p>Due to early undesirable combinations persisting</p> Signup and view all the answers

    What is considered an important issue when performing clustering analysis?

    <p>Selecting the optimal number of clusters</p> Signup and view all the answers

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