Clustering with Apache Hadoop
Sindhu Nair, Jalpa Mehta · 2011
The self-organizing map (SOM) is an unsupervised neural network which projects high-dimensional data onto a low-dimensional grid and visually reveals the topological order of the original data. Thus, SOM is an excellent tool in the exploratory phase of data mining. Self-organizing maps have been successfully applied to many fields, including engineering and business domains. Experimental results on census database illustrate the results of clustering.