Data preprocessing is a foremost and essential step in clustering based on machine learning methods. It removes noise and provides better results. In this article, we are going to discuss the steps involved in data preprocessing using MATLAB [1]. (more…)

Most of the examples that demonstrate the SOM analysis use the default Iris dataset. It is also mentioned in the SOM example of MATLAB that for the user dataset, the predictors need to be defined [1]. But it is not quite clear how to define the features or predictors of our dataset. In this article, we will learn how to define predictors for user datasets. (more…)

The self-organizing map (SOM) sample hits plot in the Matlab [1] shows the number of inputs in the neurons but one would be interested in knowing what these input values are. In this article, we are going to get the input values from the neurons. (more…)