Answer True$/$False with short explanation $(1-2$ sentences$).$ a$)$ Running K$-$means with different initial seeds is likely to produce different results b$)$ Initial cluster centers have to be data points? c$)$ Clustering stops when cluster centers are moved to the mean of clusters d$)$ k$-$means can be less sensitive to outliers if standard deviation is used instead of the average e$)$ k$-$means can be less sensitive to outliers if median is used instead of the average