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problem 1)a) Using a multilayer feed-forward neural network, show the calculations for learning by the backpropagation algorithm. Let the learning rate be 0.9. Initial weight and bias values of the network are given in table below. The first training sample, X=(1,0,1), whose class lable is 1.

W14      W15         W24         W25          W34           W35         W46         W56         Θ        Θ           Θ   
0.2        -0.3           0.4           0.1           -0.5             0.2         -0.3          -0.2        -0.4     0.2        0.1

problem 2)a) prepare typical k-medoids algorithm for partitioning based on medoid. Also, describe 4 cases of the cost function for k-medoids clustering with help of diagram.

b) What are the various categories of Hierarchical Clustering? Describe BIRCH technique of cluster representation in large databases with ex.

problem 3) prepare brief notes on:

i) FP(Frequent Pattern) – Tree

ii) Prediction Models

iii) Web Mining

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