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Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, double clustering, and discriminant analysis.The first part of the book illustrates how dimension reduction techniques synthesize available information by reducing the dimensionality of the data. The second part focuses on cluster and discriminant...

While the innovation and phenomenon of social network applications has greatly impacted society, the economy, and the technological pool of the internet; these platforms are not only used for content sharing purposes. They are also used to support and develop new services and applications. Social Network Engineering for Secure Web Data and Services provides empirical research on the engineering of social network infrastructures, the development of novel applications, and the impact of social network- based services over the internet. This comprehensive collection highlights issues and...