Application of Multiple Imputation in Cluster Analysis
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Questions and Answers

What is the purpose of pooling the results from each imputed data set?

  • To combine the optimal number of clusters and subset of selected variables that gives the highest CritCF in each imputed data set (correct)
  • To randomly select the optimal number of clusters and subset of selected variables
  • To discard the results from each imputed data set
  • To calculate the mean of the optimal number of clusters and subset of selected variables

How can the optimal number of clusters (kfin) be decided?

  • It is determined by the mean CritCF value across all imputed data sets
  • It is chosen randomly from any of the imputed data sets
  • It is the most frequently selected one according to CritCF (correct)
  • It is based on a purely subjective judgment

What method can be used to describe uncertainty in kfin associated with missing data?

  • Histogram plot
  • Line plot
  • Barplot of selection frequency for each value of k and boxplot of CritCF for each value of k (correct)
  • Scatter plot

What is the purpose of deciding the subset of clustering variables?

<p>To decide the variables to be included in the final analysis according to their selection frequency (B)</p> Signup and view all the answers

What type of plot does the miclust package provide for describing uncertainty in kfin associated with missing data?

<p>Barplot of selection frequency for each value of k and boxplot of CritCF for each value of k (A)</p> Signup and view all the answers

What does 'kopt' represent in the context of multiple imputation in cluster analysis?

<p>The optimal number of clusters obtained from each imputed data set (C)</p> Signup and view all the answers

What is the proposed framework by Basagaña et al.?

<p>An algorithm for multiple imputation in cluster analysis (A)</p> Signup and view all the answers

What is the main purpose of the miclust package?

<p>To integrate multiple imputation with cluster analysis (A)</p> Signup and view all the answers

What does the getdata function do in the miclust package?

<p>Formats the provided multiply imputed data sets (B)</p> Signup and view all the answers

What is the purpose of the summary method in the miclust package?

<p>To print a summary of the results (A)</p> Signup and view all the answers

What do the slides summarize about the proposed framework by Basagaña et al.?

<p>The methods to handle missing data in cluster analysis (C)</p> Signup and view all the answers

What is the purpose of the miclust package's plot method?

<p>To visualize the results of cluster analysis (B)</p> Signup and view all the answers

What does the miclust function do in the miclust package?

<p>Performs the proposed analysis detailed in Table 1 (B)</p> Signup and view all the answers

What are the main functions in the miclust package?

<p>getdata, miclust, summary, plot (B)</p> Signup and view all the answers

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