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Part II . Descriptive Data Mining - Cluster Analysis Answer the following Questions / Requirements for Cluster Analysis: 1 . Set up the number of
Part II Descriptive Data Mining Cluster Analysis Answer the following QuestionsRequirements for Cluster Analysis: Set up the number of clusters K based on the cluster chart created marks For the initial center pointsvectorscentroids use randomly assigned observation nos. to you. See the list posted below marks Determine the similarities distance relationships between the variables values to the initial center points by calculating the sum of the differences between the dataset values and the initial center values using the formula Euclidian Distance. marks Perform the required number of iterations rounds until complete or final clustering is achieved. marks CopyMaintain separately every set of initialderived center points used vectors for every iteration round as references. Copy the derived clustering table of every round use values only when pasting it to the free area below the established center values. Write your analysis based on the derived final clustering results. marks Write or a make a screenshot for each requirement and paste in the Assessment Output area. Properly label each according to the questions. AttachedUpload dataset with clustering analysis outputsolutions Please Solve this in excel and give all the formulas
Part II Descriptive Data Mining Cluster Analysis
Answer the following QuestionsRequirements for Cluster Analysis:
Set up the number of clusters K based on the cluster chart created marks
For the initial center pointsvectorscentroids use randomly assigned observation nos. to you. See the list posted below marks
Determine the similarities distance relationships between the variables values to the initial center points by calculating the sum of the differences between the dataset values and the initial center values using the formula Euclidian Distance. marks
Perform the required number of iterations rounds until complete or final clustering is achieved. marks
CopyMaintain separately every set of initialderived center points used vectors for every iteration round as references.
Copy the derived clustering table of every round use values only when pasting it to the free area below the established center values.
Write your analysis based on the derived final clustering results. marks
Write or a make a screenshot for each requirement and paste in the Assessment Output area. Properly label each according to the questions.
AttachedUpload dataset with clustering analysis outputsolutions
Please Solve this in excel and give all the formulas
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