Machine Learning: Understanding Feature Selection - Nastel Technologies, Inc.

Feature selection is a part of Machine Learning that can be very difficult to grasp for someone not intimately familiar with statistics. It is the intent of this blog to demystify what feature selection is and the techniques that can be used to accomplish it. Making Predictions and Cluster Analysis are two technologies at the heart of Machine Learning and Statistics. These technologies are being used today to help analyze the "information overload" that characterizes big data. There are a wide variety of Clustering Techniques available today including: K-Means, Hierarchical, Spectral, Density, Mean Shift, and Biclustering.