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SOLVE IN PYTHON URGENT Create a 1-dimensional dataset in the following manner – pick100samples from each of gaussian -  mean = 0, variance = 1.First try k-means on this data usingk= 2. What are the centers? Use sklearn’s implementation.Now, suppose we want to use distance rather than squared distance (this is calledk-median). Let us do anexhaustive search over all2-clusterings (leftspoints in one cluster and rest200−sin the other cluster).Find the best one according to the k-median objective. What are the centers? Did distance work better or the squared?

SOLVE IN PYTHON URGENT Create a 1-dimensional dataset in the following manner – pick100samples from each of gaussian -  mean = 0, variance = 1.First try k-means on this data usingk= 2. What are the centers? Use sklearn’s implementation.Now, suppose we want to use distance rather than squared distance (this is calledk-median). Let us do anexhaustive search over all2-clusterings (leftspoints in one cluster and rest200−sin the other cluster).Find the best one according to the k-median objective. What are the centers? Did distance work better or the squared?

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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SOLVE IN PYTHON URGENT

Create a 1-dimensional dataset in the following manner – pick100samples from each of gaussian -  mean = 0, variance = 1.First try k-means on this data usingk= 2. What are the centers? Use sklearn’s implementation.Now, suppose we want to use distance rather than squared distance (this is calledk-median). Let us do anexhaustive search over all2-clusterings (leftspoints in one cluster and rest200−sin the other cluster).Find the best one according to the k-median objective. What are the centers? Did distance work better or the squared?

 

 

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