Compare three clustering algorithms in weka. for this comparison, you will need to use at least two different datasets. run the algorithms on the datasets, and use the visualization tools.
o write a short report that explains your work and addresses the following:
o description of the dataset.
o description of the algorithms used.
o discussion of the clustering approaches, and the information that you might gain from doing this clustering.
o summary of the results.
o comparison between the algorithms used, in terms of what you think is interesting.

Selective incapacitation is a strategy to reduce prison population

When is an original work considered public domain? a. when posted via social media b. when it is posted on the internet c. when a copyright symbol is not included with the piece of work d. when explicit permission is given by the author / owner

1)consider the following code snippet: #ifndef book_h#define book_hconst double max_cost = 1000.0; class book{public: book(); book(double new_cost); void set_cost(double new_cost); double get_cost() const; private: double cost; }; double calculate_terms(book bk); #endifwhich of the following is correct? a)the header file is correct as given.b)the definition of max_cost should be removed since header files should not contain constants.c)the definition of book should be removed since header files should not contain class definitions.d)the body of the calculate_terms function should be added to the header file.