Which of the following clustering algorithms suffers from the problem convergence at local optima?$1)$ K$-$ Means clustering algorithm$\mathrm{.}2)$ Hierarchy clustering algorithm$\mathrm{.}3)$ Expectation$-$Maximization clustering algorithm$\mathrm{.}4)$ Gaussian Mixture Model clustering algorithm.Options:A$.1$ onlyB. $2$ and $3$C$.3$ and $4$D$.1,3$ and $4$