Suppose that the data mining task is to cluster points (with (x, y) representing location) into three clusters, where the points are a1(2,10),a2(2,5),a3(8,4),b1(5,8),b2 (7,5),b3(6,4),c1(1,2),c2(4,9). the distance function is euclidean distance. suppose initially we assign a1, b1, and c1 as the center of each cluster, respectively. use the k-means algorithm to show only (a) the three cluster centers after the first round of execution. (b) the final three clusters.

Create a console project in c#. 1. create an interface "imyinterface.cs" - add a method "string imessage()" 2. create a class named "c1.cs" - add 4 private data members, create property for each data member double loanamnout=0.0; double years=0.0; double interests=0.0; double interestrate=0.0; 3. - add a constructor with parameters to assign values to loanamnout, years, interestrate with values that user entered. 4. - add one method “payinterests()” to return the interests interests = loanamnout * interestrate * years 5. - inheritate "imyinterface", implement the method " imessage()", return string "be ready! ” 6. in program.cs, have users to enter loanamnout, years, interestrate. - call method payinterests() to display total interests. - call imessage() to display "be ready! ”