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There exists an unclassified data set with hidden data structures in it. The task in this assignment is to perform comprehensive Cluster Analysis in order to reveal the structures and similar data groups.
1. Implement a simple K-means method, which is able to handle real values data in attributes. Also you need to add functionality in your program that allows utilization of Euclidean, City Block, Euclidean Squared and Chebyshev distances. You are free to use any kind of weights (for feature or data instance) in the program if necessary.
2. Find unlabeled data set test.txt and initial centroids data set centroids.txt in the archive, both files have the following format: [attribute1_value attribute2_value ... attribute90_value]. The unlabeled data set includes 350 samples and the initial centroids set consists of 15 samples. Data instances in both files have 90 attributes.
WHAT YOU MEAN BY UTILITY OF MANAGERIALECONOMICS
1. If you are calculating a correlation coefficient testing the relationship between height and weight, state the null and alternative hypotheses. 2. What kind of relationship d
types of sampling method
Betting on sporting events is big business both in the US and abroad. Consider, for instance, next winter’s American football tournament known as the Superbowl. Billions of dollars
For calculating the mode of the grouped data graphically, the following procedure is adopted. Draw a histogram of the data; the modal class is the tallest rectangle.
Grouped Data In order to find the median, the median class is to be first located and then interpolation is to be used by assuming that items are evenly spaced over the entire
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Construct index numbers of price for the following data by applying: i) Laspeyre’s method ii) Paasche’s method iii) Fisher’s Ideal Index number
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