(a) K-means automatically adjusts the number of clusters. True / False?
(b) K-means is a supervised learning algorithm. True / False?
(c) The K-means algorithm is guaranteed to converge to a local optimum. True / False?
(d) In hierarchical clustering, complete linkage works only with the Euclidean distance metric. True / False?
(e) During agglomerative hierarchical clustering, single linkage is more sensitive to outliers than complete linkage. True / False?
In hierarchical clustering, the number K of clusters is a tuning parameter and can be chosen using cross-validation. True / False?