Q1.

In K-means clustering, the observations (data items) are evaluated to determine how many clusters exist within the data set.

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True

False

Q8:

Assuming we have 30,000,000 species and we eliminate one of them, we can say that this decision has a large information gain.

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True

False

Q10.

The random assignment of observations (data items) within the K-means cluster approach has no impact on the outcome of the algorithm. The resulting clusters will be the same every time the algorithm is executed.

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True

False

Question 6 Not yet answered Marked out of 1.00 P Flag question Assuming a data set with 2,306 training outcomes of which 895 are negatives, what is the Entropy? 7 Round your answer to the nearest thousandths place: Question 7 Not yet answered Marked out of 1.00 P Flag question What type of network does the following diagram illustrate? Select one: O a. Feed-forward network O b. Feedback network O C.Perceptron O d. Distributed Neuron network