Question: 1. Using Manhattan distance to compute dissimilarity between observations, apply hierarchical clustering on all seven variables, experimenting with using complete linkage and group average linkage.

1. Using Manhattan distance to compute dissimilarity between observations, apply hierarchical clustering on all seven variables, experimenting with using complete linkage and group average linkage. Normalize the values of the input variables. Recommend a set of customer profiles (clusters). Describe these clusters according to their “average”
characteristics. Why might hierarchical clustering not be a good method to use for these seven variables?

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Business Analytics Data Questions!

Know Thy Customer (KTC) is a financial consulting company that provides personalized financial advice to its clients. As a basis for developing this tailored advising, KTC would like to segment its...

Thy (KTC) is a financial consulting conpany that provides personalized financial. advice to its clients. As a basis for developing this tailored advising. KTC would like to seyment its into several...

The Football Bowl Subdivision (FBS) level of the National Collegiate Athletic Association (NCAA) consists of over 100 schools. Most of these schools belong to one of several conferences, or...

Using matching distance to compute dissimilarity between observations, apply hierarchical clustering employing group average linkage to the data in DemoKTC to create three clusters based on the...

Refer to the clustering problem involving the file fbs described in Problem 3 2 . Using Euclidean distance to compute dissimilarity between observations, apply hierarchical clustering employing Ward...

Refer to the clustering problem involving the file F S described in Problem 13. Using Euclidean distance to compute dissimilarity between observations, apply hierarchical clustering with 10 clusters...

Question 22. le ts 22. Text Mining of Tweets. Companies can learn a lot about customer experiences by monitoring the social media web site Twitter. The file AirlineTweets contains a sample of 36...

Know Thy Customer (KTC) is a financial consulting company that provides personalized financial advice to its clients. As a basis for developing this tailored advising. KTC would like to segment its...

Please, need help urgently. Show the steps taken (excel) Big Ten School Illinois Stadium Capacity 0.39616393 Latitude 0.291098113 Longitude -0.576520912 Endowment ($000) 0.193512318 Enrollment...

Prospect theory suggests that people are hurt more by losses than they are uplifted by gains of a corresponding size. If that is true, what implications would it have for economic policy?

Find the y-intercept of the line y=(1)/(6)x+(3)/(2). Write your answer as an integer or as a simplified proper or improper fraction, not as an ordered pair.

The diagram shows a triangular prism. The volume of the prism is 168 m3. a Work out the height of the triangle. b Compare the method you used to answer part a with other learners in the class. Which...

What do you think is your strongest component of cultural intelligence? Your weakest? How would you go about shoring up your weaknesses?