Consider the K-Mean clustering algorithm. Eight samples are given below. Assume that there are three clusters, i. e. K =3. Initial partitions S1(0), S2(0), S3(0) are also given below. Suppose Euclidian distance is used. First sketch the samples and the initial partitions. Then continue with the k-mean algorithm by finding the centroids. Do more iterations of finding both the partitions and the centroids until convergence. Provide your results by showing both the partitions and the centroids. x1 x2 x3 x4 x5 x6 x7 x8(0,1) (0,-1) (0,3) (0,4) (1,3) (3,0) (3,1) (4,0) S1(0) = {x1, x2, x3}S2(0) = {x4, x5, x6}S3(0) = {x7, x8}

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Print "censored" if userinput contains the word "darn", else print userinput. end with newline. ex: if userinput is "that darn cat.", then output is: censoredex: if userinput is "dang, that was scary! ", then output is: dang, that was scary! note: if the submitted code has an out-of-range access, the system will stop running the code after a few seconds, and report "program end never reached." the system doesn't print the test case that caused the reported message.#include #include using namespace std; int main() {string userinput; getline(cin, userinput); int ispresent = userinput.find("darn"); if (ispresent > 0){cout < < "censored" < < endl; /* your solution goes here */return 0; }

Universal windows platform is designed for which windows 10 version?