Using hclust, categorize the “IBM_employee_attrition_v2.csv” data into two (2) clusters based on “TotalWorkingYears”, “Gender” and “Education” features. Tabulate the clustered rows against the “Attrition” column. (Remove the rows with missing values first)
Cluster-2
Using k-means, categorize the “IBM_employee_attrition_v2.csv” data into two (2) clusters based on “TotalWorkingYears”, “Gender” and “Education” features. Tabulate the clustered rows against the “Attrition” column. (Remove the rows with missing values first)
