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Question 1. What is K-means from a basic standpoint?
Question 2. What are the various types of clusters and why is the distinction important?
Question 3. What are the strengths and weaknesses of K-means?
Question 4. What is a cluster evaluation?
Select at least two types of cluster evaluations, discuss the concepts of each method.
Chapter 7
Introduction to Data Mining
Should the United States fear China's emergence or vice-versa? Why or why not? Provide detailed explanations of your viewpoints and support your answers.
Should a small business environment use a workgroup network or a domain network setup? And what would be the advantages and disadvantages of either option?
Explain differences between two main types of machine learning methods. Provide one real-world example of how each type of learning is applied in data science.
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You will be analyzing the basic concepts for object-oriented programming, how to create classes that contain attributes and different types of methods.
If Boer's investment bankers charge a flotation cost of 0.12 as a fraction of the price of a new stock issue, what is Boer's cost of issuing new equity?
Why are statistical programming languages important to data scientists? What are some advantages and disadvantages the R programming language
Create a program that accepts a person's BMI score and outputs an appropriate comment on the score based on the following information:
What are the pros and cons of having risk officers as part-time assignments within different functions and business units?
If p denotes the selling price (in dollars) of a commodity and x is the corresponding demand (in number sold per day), then the relationship between p and x is sometimes given by p = p0e(-ax), where p0 and a are positive constants. Express x as a ..
What are the advantages and disadvantages of a Private Cloud vs. a Public Cloud delivery model? When would you implement each and why?
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