Please consider the answer in MatLab code.

Consider the following set of two-dimensional vectors: (a) Plot the decision boundary resulting from the nearest-neighbor rule just for categorizing omega_1 and omega_2. Find the sample means m_1 and m_2 and on the same figure sketch the decision boundary corresponding to classifying x by assigning it to the category of the nearest sample mean. (b) Repeat part (a) for a three-category classifier, classifying omega 1, omega 2 and omega 3. Consider the following set of two-dimensional vectors: (a) Plot the decision boundary resulting from the nearest-neighbor rule just for categorizing omega_1 and omega_2. Find the sample means m_1 and m_2 and on the same figure sketch the decision boundary corresponding to classifying x by assigning it to the category of the nearest sample mean. (b) Repeat part (a) for a three-category classifier, classifying omega 1, omega 2 and omega 3