Let's break down the the terms in this SVM algorithm to have a better sense of what it is:
S - Support refers to the extreme values/points in your dataset.
V - Vector refers to the values/points in dataset / feature space.
M - Machine refers to the machine learning algorithm that focuses on the support vectors to classify groups of data. This algorithm literally only focuses on the extreme points and ignores the rest of the data.