Program: File name: “ DrugTests2.java ” //Define a class named DrugTests2 public class DrugTests2 { //Define a main method public static void main(String[] args) { //Declare the variables and initialize the values int testedEmployee; int week; final int WEEKS = 52; final int EMPLOYEES = 30; int[] counts = new int[EMPLOYEES]; int countNeverTested = 0; int x; /For loop to be executed until a list of randomly selected employees who will be tested each week for the next 52 weeks/ for(week = 1; week <= WEEKS; ++week) { //Calculate the number of times each employee is selected testedEmployee = 1 + (int) (Math.random() * EMPLOYEES); //Print the result System.out.print("week " + week + " Emp # " + testedEmployee + " "); //If remainder of week % 4 equals 0 if(week % 4 == 0) //Print the result System.out.println(); //Increment counts counts[testedEmployee - 1]++; } //For loop to be executed until x exceeds 30 for(x = 0; x < EMPLOYEES; ++x) { //Print the result System...

Question

Exercise docID document text docID document text 1 hot chocolate cocoa beans 7 sweet sugar 2345 9 cocoa ghana africa 8 sugar cane brazil beans harvest ghana 9 sweet sugar beet cocoa butter butter truffles sweet chocolate 10 sweet cake icing 11 cake black forest Clustering by k-means, with preprocessing tokenization, term weighting TFIDF. Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.

Answer 1

Expert Solution & Answer

Chapter 8, Problem 12PE

a.

Explanation of Solution

Program:

File name: “DrugTests2.java”

//Define a class named DrugTests2

public class DrugTests2

{

    //Define a main method

    public static void main(String[] args)

    {

        //Declare the variables and initialize the values

        int testedEmployee;

        int week;

        final int WEEKS = 52;

        final int EMPLOYEES = 30;

        int[] counts = new int[EMPLOYEES];

        int countNeverTested = 0;

        int x;

        /For loop to be executed until a list of randomly

        selected employees who will be tested each

        week for the next 52 weeks/

        for(week = 1; week <= WEEKS; ++week)

        {

            //Calculate the number of times each employee is selected

            testedEmployee = 1 + (int) (Math.random() * EMPLOYEES);

            //Print the result

            System.out.print("week " + week + " Emp # " +

            testedEmployee + "      ");

            //If remainder of week % 4 equals 0

            if(week % 4 == 0)

                //Print the result

                System.out.println();

                //Increment counts

                counts[testedEmployee - 1]++;

        }

        //For loop to be executed until x exceeds 30

        for(x = 0; x < EMPLOYEES; ++x)

        {

            //Print the result

System...

b.

Explanation of Solution

Program:

File name: “DrugTests3.java”

//Define a class named DrugTests3

public class DrugTests3

{

    //Define a main method

    public static void main(String[] args)

    {

        //Declare the variables and initialize the values

        int testedEmployee;

        int week;

        final int WEEKS = 52;

        final int EMPLOYEES = 30;

        int[] counts = new int[EMPLOYEES];

        int countNeverTested = 0;

        int x;

        int previousEmployee = -1;

        /For loop to be executed until a list of randomly

        selected employees who will be tested each

        week for the next 52 weeks/

        for(week = 1; week <= WEEKS; ++week)

        {

/Calculate the number of times each employee is selected/

testedEmployee = 1 + (int) (Math.random() * EMPLOYEES);

            /If an employee number is selected

            immediately after it was already selected/

            if(testedEmployee == previousEmployee)

            {

                //Decrement week

                week--;

                //Print the result

                System.out.println("Employee #" + testedEmployee + " was selected two weeks in a row -- making new selection");

            }

            //Else

            else

            {

                //Print the result

                System.out.print("week " + week + " Emp # " +

                testedEmployee + "      ");

                //If remainder of week % 4 equals 0

                if(week % 4 == 0)

                    //Print the result

                    System...

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Exercise docID document text docID document text 1 hot chocolate cocoa beans 7 sweet sugar 2345 9 cocoa ghana africa 8 sugar cane brazil beans harvest ghana 9 sweet sugar beet cocoa butter butter truffles sweet chocolate 10 sweet cake icing 11 cake black forest Clustering by k-means, with preprocessing tokenization, term weighting TFIDF. Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.

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