Why is Matlab the best language for data mining? (cont’d)
In the previous post, I was arguing that Matlab is an excellent programming language (and environment) for data mining. However, as you know, no programming language is perfect. Matlab also has its drawbacks. Here are a few of them.First, Matlab is an interpreted language. Which means no compilation. The good thing is the on the fly programming-executing aspect. On the other side, there is no declaration or typeWhy is Matlab the best language for data mining?
July 13, 2007 by Sandro Saitta · 3 Comments
Filed under: Java, Matlab, data mining, programming language
Filed under: Java, Matlab, data mining, programming language
Standardization vs. normalization
July 10, 2007 by Sandro Saitta · 6 Comments
Filed under: data preprocessing, normalization, scaling, standardization
In the overall knowledge discovery process, before data mining itself, data preprocessing plays a crucial role. One of the first steps concerns the normalization of the data. This step is very important when dealing with parameters of different units and scales. For example, some data mining techniques use the Euclidean distance. Therefore, all parameters should have the same scale for a fair comparison between them.Two methods are usually well
Filed under: data preprocessing, normalization, scaling, standardization












