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Principale componentenanalyse, verwante methoden en hun gebruik in de menselijke aardrijkskunde
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Year: 1985 Publisher: Leuven : KUL. Geografisch instituut,

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Common principal components and related multivariate models
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ISBN: 0471634271 9780471634270 Year: 1988 Publisher: New York : Wiley,

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Principal component analysis : engineering applications
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ISBN: 9535156934 953510182X Year: 2012 Publisher: IntechOpen

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This book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as energy, multi-sensor data fusion, materials science, gas chromatographic analysis, ecology, video and image processing, agriculture, color coating, climate and automatic target recognition.


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Principal component analysis.
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ISBN: 0387962697 3540962697 147571906X 1475719043 9780387962696 Year: 1986 Publisher: New York (N.Y.) Springer


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Multi- and megavariate data analysis
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ISBN: 9789197373029 9789197373036 9197373028 Year: 2006 Publisher: Umeå, Sweden Umetrics AB


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Advances in Principal Component Analysis : Research and Development
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ISBN: 981106704X 9811067031 Year: 2018 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific journals papers worldwide, the book presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and especially focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.

Keywords

Engineering. --- Pattern recognition. --- Computer mathematics. --- Computational intelligence. --- Biomedical engineering. --- Signal, Image and Speech Processing. --- Pattern Recognition. --- Computational Intelligence. --- Computational Mathematics and Numerical Analysis. --- Biomedical Engineering. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Construction --- Industrial arts --- Technology --- Mathematics --- Principal components analysis. --- Analysis, Principal components --- Components analysis, Principal --- Correlation (Statistics) --- Factor analysis --- Optical pattern recognition. --- Computer science --- Biomedical Engineering and Bioengineering. --- Mathematics. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)

Membrane structure
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ISBN: 0444803041 Year: 1981 Publisher: Amsterdam : Elsevier/North-Holland biomedical press,

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Emergent collective properties, networks, and information in biology
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ISBN: 0444521593 Year: 2006 Publisher: Amsterdam : Elsevier,

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The concept of network as a mathematical description of a set of states, or events, linked according to a certain topology has been developed recently and has led to a novel approach of real world. This approach is no doubt important in the field of biology. In fact biological systems can be considered networks. Thus, for instance, an enzyme-catalysed reaction is a network that links, according to a certain topology, the various states of the protein and of its complexes with the substrates and products of the chemical reaction. Connections between neurons, social relations in animal and human populations are also examples of networks. Hence there is little doubt that the concept of network transgresses the boundaries between traditional scientific disciplines. This book is aimed at discussing in physical terms these exciting new topics on simple protein model lattices, supramolecular protein edifices, multienzyme and gene networks. *Physical and mathematical approach of biological phenomena. *Offers biochemists and biologists the mathematical background required to understand the text. *Associates in the same general formulation, the ideas of communication of a message and organization of a system. *Provides a clear-cut definition and mathematical expression of the concepts of reduction, integration, emergence and complexity that were so far time-honoured and vague

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