Question: Q 5 : K - Means clustering and Evolutionary Learning ( Refer Table 6 ) News - set ( Table 6 ) a . Cluster
Q: KMeans clustering and Evolutionary Learning Refer Table
Newsset Table a Cluster the above news using Euclidean distance. Write pseudo codeb. Cluster them using Manhattan distance. Write pseudo codec. Work out for clustersd. Then measure distance between centroids of the clusters formed using above two different methods using Euclidean distancee. Can we combine Euclidian and Manhattan distance How? Where it could be used.
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