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Application of Multiple Imputation in Cluster Analysis

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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?

To decide the variables to be included in the final analysis according to their selection frequency Signup and view all the answers

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

Barplot of selection frequency for each value of k and boxplot of CritCF for each value of k Signup and view all the answers

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

The optimal number of clusters obtained from each imputed data set Signup and view all the answers

What is the proposed framework by Basagaña et al.?

An algorithm for multiple imputation in cluster analysis Signup and view all the answers

What is the main purpose of the miclust package?

To integrate multiple imputation with cluster analysis Signup and view all the answers

What does the getdata function do in the miclust package?

Formats the provided multiply imputed data sets Signup and view all the answers

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

To print a summary of the results Signup and view all the answers

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

The methods to handle missing data in cluster analysis Signup and view all the answers

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

To visualize the results of cluster analysis Signup and view all the answers

What does the miclust function do in the miclust package?

Performs the proposed analysis detailed in Table 1 Signup and view all the answers

What are the main functions in the miclust package?

getdata, miclust, summary, plot Signup and view all the answers