Support Vector Machines
Support vector machine is highly approved by many as it produces significant accuracy with less computation power. It is a simple algorithm of using a machine learning model with associated learning algorithms that analyze data used for classification and regression analysis. The SVM mainly focuses to find a hyperplane in N-dimensional space (N — the number of features) that distinctly classifies the data points.
- Support-vector clustering
- Linear classification
Related Conference of Support Vector Machines
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