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Provides methodological developments in data analysis and classification. Apart from structural and theoretical results, this book, of value to researchers, shows how to apply the developments to a variety of problems, for example, in medicine, microarray analysis, social network structures, and music.

Cluster analysis --- Multivariate analysis --- Mathematical statistics --- Library science. --- Mathematical statistics. --- Data structures (Computer scienc. --- Information systems. --- Optical pattern recognition. --- Statistics. --- Library Science. --- Statistical Theory and Methods. --- Data Structures and Information Theory. --- Information Systems and Communication Service. --- Pattern Recognition. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Librarianship --- Library economy --- Bibliography --- Documentation --- Information science --- Statistics . --- Data structures (Computer science). --- Computers. --- Pattern recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace

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Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.

Classification -- Congresses. --- Research -- Congresses. --- Science -- Social aspects -- Congresses. --- Research --- Classification --- Mathematics --- Physical Sciences & Mathematics --- Sciences - General --- Algebra --- Mathematical Statistics --- Discriminant analysis --- Methodology --- Analysis, Discriminant --- Classification theory (Statistics) --- Discrimination theory (Statistics) --- Mathematics. --- Data mining. --- Artificial intelligence. --- Probabilities. --- Statistics. --- Probability Theory and Stochastic Processes. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Statistical Theory and Methods. --- Statistics and Computing/Statistics Programs. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Math --- Science --- Multivariate analysis --- Distribution (Probability theory. --- Mathematical statistics. --- Artificial Intelligence. --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Distribution functions --- Frequency distribution --- Characteristic functions --- Statistics .