[Classification algorithm]: SVM support vector machine

Support Vector machines SVM, short

• The purpose of the classification algorithm is to learn a classification function or a classification model (classifier)that can map the data items in a database to one of the given categories, thus predicting unknown categories.
• SVM is a kind of supervised learning method.
• Support vector: A vector point supporting or supporting a plane that separates two categories of classes
• Machine: Is the algorithm, machine learning often think of some algorithms as a machine
• Ultra-flat:

In n-dimensional space, the whole of the point (x1,x2,..., xn) satisfying the a1x1+a2x2+...+anxn=b of the N-ary equation is called a super-plane (i.e. generalized plane) of space.

Specific to the 2-dimensional space, is a straight line, 3-dimensional space, is a plane.

[Classification algorithm]: SVM support vector machine