Bida 630 Data Analytics Study Guide Rated A+

In K-means clustering you must specify the number of clusters, k, or a range of values for k, in advance. However, you can compare the results of different values of k to select an optimal number of clusters for your data. The best fit is determined by the highest __________ {Ans: CCC value}Which of the following are the assumptions of Discriminant analysis? (2 correct answers) - Assumes the data set has more than 20 records - Assumes that, within a class, the features are independent - Assumes correlation among predictors within a class is the same across all classes - Assumes multivariate normality of predictor {Ans: - Assumes correlation among predictors within a class is the same across all classes - Assumes multivariate normality of predictor}Fit another neural network to this same data. To produce the same results first set the random seed to 456 (in the first launch window). There will be differences between this model and the first model. Why do the results differ? Determine whether the statement below is either true or false. The starting values for the weights are different (random starting values are used unless the random seed is set), leading to different