Reviews: SVM

In the review Post, i am going to write for different tools, technologies, algorithms which are available in opensource community. There will be lot of things common in between the review post. Most common would be their ease of use in Internet industry.

Today’s topic is SVM.

SVM stands for support vector machines. This is a method used for classifying the data and doing regression later on.

Classification: If we look down at Delhi from a high position, what do we see? We see the clusters of houses in Delhi.

What are the properties of people who had formed the clusters? is it economic, social or geographic properties which had decided for the housing of different set of people in Delhi. To classify a data we need to first figure out the dimension on which the data need to be classified. once we find that we plot the clusters on the axis. Now we have information like Cluster A has people with (A(Range1)X,B(Range1)Y,C(Range1)Z) properties. cluster B has (A(Range2)X,B(Range2)Y,C(Range2)Z) properties and so on. Now by classification we mean to find a curve which separate the clusters. To identify the curve we use set of sample data or the test data.

Regression: Once the classification is done on the real data. we do the regression for any new data coming into the system. we input a data with the properties, and the system will give us the most probable cluster the data belongs to.

use of Application: can be used for predictive analysis, like credit ranking, contextual mapping, forecasting in sales and CRM software, optimization techniques and so on.

Download the software from : SVMLight