This refers to the Camping affinity analysis script and outp…
This refers to the Camping affinity analysis script and output.What is the very best rule to use? Give the rule number, tell me the rule text, what it says in plain English, and give me an outline of your reasoning. Make sure you tell me which areas of the output you used to derive your answer.
Read DetailsYou have a data set of 1000 records, representing the income…
You have a data set of 1000 records, representing the income and age data of 1000 different survey respondents. You have standardized your income and age variables.If you run a k-means algorithm with k=10 on your standardized data, what will your output be?
Read DetailsYou have run a K-means clustering algorithm on a data set. Y…
You have run a K-means clustering algorithm on a data set. Your output includes the following:K-means clustering with 3 clusters of sizes 6, 3, 3 Cluster means:age_z height_z1 -0.8823353 -0.94072802 1.1566365 1.14456943 0.6080342 0.7368866 Clustering vector:{1} 1 1 1 1 1 1 3 3 2 3 2 2 Within cluster sum of squares by cluster:{1} 0.9566840 0.1903715 0.1903715(between_SS / total_SS = 93.9 %) How many clusters are there here? [BLANK-1] clustersHow big is the smallest cluster? [BLANK-2] data pointsHow big is the biggest cluster?[BLANK-3] data pointsIn which cluster did the 12th (the last) data point fall?Cluster #[BLANK-4]How much of the overall variability did this clustering model account for? (Enter your answer as a percentage between 0 and 100, and carry it to one decimal place. Don’t enter the % sign. For example, if you want to answer 12.3456%, type in “12.35” (without the quotes)).[BLANK-5]%. Type the letter of your option: Based on this percentage of variability, is this clustering modelA – awfulB – moderateC – really goodD – cannot tell from available information[BLANK-6]
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