You are a father or mother, a son or daughter, husband or wife, a significant other, a rock climber, a kite-flyer, a bicycle enthusiast, a marathon runner, a collector of old movies, a secret novelist, a boxing fan. You are the center of your universe. On the picture collage from the...

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing...

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Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods―K-Means for partitioning and Ward's method for hierarchical clustering―have lacked the...

Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

• A guide to using Pentaho Business Analytics for big data analysis
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