Question 40

Question 41

The first step in the K-means clustering algorithm is to randomly assign each observation within the data set to a cluster from 1 to K.

Select one:

True

False

Question 42

Question 40You are training the following perceptron. The neuron in this perceptron has a sigmoid activation function. The sigmoid function is represented by the following equation: 1 f(x, w) Using the update function for the weights f(x, w)a with a learning rate of rF-1, and assuming that the current weights are , 0.1 and w2 0.1, compute an iteration of the new weights by computing error and applying back to the inputs. .5 W. .5 Output New W, New V