could you help me to solve this Conduct a hierarchical cluster analysis using the four variables specified above. Note that the video example for this module applies hierarchical cluster analysis using categorical variables, but in this case, we conduct a hierarchical cluster analysis using the same four continuous variables that we used in the k-means cluster analysis.
Variables: The variables you will use for this analysis are:
- Age: Age of employee in years
- MonthlyIncome: How much the employee earns per month
- PercentSalaryHike: The percentage increase in salary over two years
- YearsAtCompany: The total number of years the employee has been with the company
- Scale the data (we will be using Euclidean distance which requires us to normalize the data before using it in a distance function)
- Use Euclidean distance
- Use the Ward.D method (NOT Ward.D2)
Quiz Question #11: What is NOT true about Ward’s method for merging clusters?
- Generate a Dendrogram
- Create 4 clusters using the cutree function
- Link cluster assignments to the original data frame
- Display the number of observations in each cluster
Quiz Question #12: What is the size of the largest cluster?
Quiz Question #13: What is the size of the smallest cluster?
- Calculate variable averages for all non-normalized observations
- Calculate variable averages for each cluster
Quiz Question # 14: What are the key characteristics of cluster 1?
Quiz Question #15: What are the key characteristics of cluster 3?
Quiz Question #16: Comparing the k-means and hierarchical cluster analyses, which cluster pairs are most similar?
Frequency Tables are not used for this data since it is not categorical or binary.
could you help me to answer these Questions
Which of the following is NOT true about Ward’s method for merging clusters?
Question 12 (1 point)
What is the size of the largest cluster?
What is the size of the smallest cluster?
Question 14 (1 point)
Listen
What are the key characteristics of cluster 1?
Question 15 (1 point)
Listen
What are the key characteristics of cluster 3?
Question 16 (1 point)
Listen
Comparing the k-means and hierarchical cluster analyses, which of these cluster pairs are most similar?