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MeaningFinder™ is a unique program for data analysis that has no analogs in the modern information processing technology.
Along with its innovative solutions to the problems of hierarchical clustering and tree construction, pattern recognition, object identification and other analytical tasks, MeaningFinder 2.2 provides a number of techniques that have never before been available in data analysis, such as special procedures for discriminant analysis allowing the evaluation of not only significance of individual parameters but also reliability of each parameter, search for closest analogs of patterns described by high-dimensional parameters, and many other unique operations for data analysis.
To a data analyst who is a non-trivial thinker, MeaningFinder offers a non-trivial technology for intelligent data processing and analysis, oftentimes providing heuristic insight into data systems under investigation. As most of the analytical operations are performed by MeaningFinder in the unsupervised mode, this program is also indispensable in routine data analysis.
More: Selected Illustrations to a Working Model of Non-Biological Intelligence
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