Compute the euclidean distance between the two objects

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Reference no: EM133115710

Exercise

1. What is a Perceptron and what is Multilayer perceptron? Illustrate the structure of aperceptron and multilayer perceptron.

2. Given two objects represented by the tuples (22, 1, 42, 10) and (20, 0, 36, 8):

a) Compute the Euclidean distance between the two objects.
b) Compute the Manhattan distance between the two objects.

3. In the following dataset, 4 subjects belong to two different classes (A and B). Classify the new subject (Subject: Feature 1= 3; Feature 2=7; Class=?) using k nearest neighbour classification. Using Euclidean distance as distance function and the object is assigned to the majority class within the K nearest neighbour.

Perform kNN classification for the following values of k:

(a). k = 1
(b). k = 3

251_Data Mining for Business Analytics1.jpg

New Subject: Feature 1= 3; Feature 2=7; Class=?

Reference no: EM133115710

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