Assume, you want to cluster 5 observations into 2 clusters using K-Means clustering algorithm. After first iteration clu

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Assume You Want To Cluster 5 Observations Into 2 Clusters Using K Means Clustering Algorithm After First Iteration Clu 1 (16.59 KiB) Viewed 30 times

Assume You Want To Cluster 5 Observations Into 2 Clusters Using K Means Clustering Algorithm After First Iteration Clu 2 (90.4 KiB) Viewed 30 times

Assume, you want to cluster 5 observations into 2 clusters using K-Means clustering algorithm. After first iteration clusters, C1, and C2, has following observations: C1: (2,2), (4,4), (6,6)} C2: {(0,4), (4,0)} What will be the cluster centroids if you want to proceed for second iteration? O a. C1: (2,2), C2: (0,0) O b. C1: (4,4), C2: (2,2) O c. None of these options O d. C1: (6,6), C2: (4,4)

Consider the prostate cancer dataset shown in the table below. P34 level P61 level BMI High Medium Low Low Low Medium High High Low Medium Low Low Low High Low Medium Low Medium Low High Medium Medium High Low Low Low Medium Low High High Prostate cancer Y Y Y N N N Y N N Y To score a new patient with the following data: P34=Medium, P61=Medium, and BMI = High using Naive bayes classifier, what is the best guess at Prostate cancer field and the probability of the classification? Prostate cancer = Y, Probability = 0.0 O Prostate cancer = Y, Probability = 0.08 Prostate cancer = N, Probability = 0.008 Prostate cancer = N, Probability = 0.016