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Algorithms from and for Nature and Life

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Cover of 'Algorithms from and for Nature and Life'

Table of Contents

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    Book Overview
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    Chapter 1 Size and Power of Multivariate Outlier Detection Rules
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    Chapter 2 Clustering and Prediction of Rankings Within a Kemeny Distance Framework
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    Chapter 3 Solving the Minimum Sum of L1 Distances Clustering Problem by Hyperbolic Smoothing and Partition into Boundary and Gravitational Regions
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    Chapter 4 Algorithms from and for Nature and Life
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    Chapter 5 Implications of Axiomatic Consensus Properties
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    Chapter 6 Comparing Earth Mover’s Distance and its Approximations for Clustering Images
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    Chapter 7 A Hierarchical Clustering Approach to Modularity Maximization
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    Chapter 8 Mixture Model Clustering with Covariates Using Adjusted Three-Step Approaches
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    Chapter 9 Efficient Spatial Segmentation of Hyper-spectral 3D Volume Data
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    Chapter 10 Cluster Analysis Based on Pre-specified Multiple Layer Structure
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    Chapter 11 Factor PD-Clustering
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    Chapter 12 Algorithms from and for Nature and Life
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    Chapter 13 Algorithms from and for Nature and Life
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    Chapter 14 Visualizing Data in Social and Behavioral Sciences: An Application of PARAMAP on Judicial Statistics
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    Chapter 15 Properties of a General Measure of Configuration Agreement
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    Chapter 16 Convex Optimization as a Tool for Correcting Dissimilarity Matrices for Regular Minimality
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    Chapter 17 Principal Components Analysis for a Gaussian Mixture
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    Chapter 18 Interactive Principal Components Analysis: A New Technological Resource in the Classroom
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    Chapter 19 One-Mode Three-Way Analysis Based on Result of One-Mode Two-Way Analysis
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    Chapter 20 Latent Class Models of Time Series Data: An Entropic-Based Uncertainty Measure
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    Chapter 21 Regularization and Model Selection with Categorical Covariates
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    Chapter 22 Factor Preselection and Multiple Measures of Dependence
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    Chapter 23 Intrablocks Correspondence Analysis
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    Chapter 24 Determining the Similarity Between US Cities Using a Gravity Model for Search Engine Query Data
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    Chapter 25 An Efficient Algorithm for the Detection and Classification of Horizontal Gene Transfer Events and Identification of Mosaic Genes
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    Chapter 26 Complexity Selection with Cross-validation for Lasso and Sparse Partial Least Squares Using High-Dimensional Data
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    Chapter 27 A New Effective Method for Elimination of Systematic Error in Experimental High-Throughput Screening
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    Chapter 28 Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics
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    Chapter 29 Identification of Risk Factors in Coronary Bypass Surgery
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    Chapter 30 Parallel Coordinate Plots in Archaeology
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    Chapter 31 Classification of Roman Tiles with Stamp PARDALIVS
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    Chapter 32 Applying Location Planning Algorithms to Schools: The Case of Special Education in Hesse (Germany)
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    Chapter 33 Detecting Person Heterogeneity in a Large-Scale Orthographic Test Using Item Response Models
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    Chapter 34 Linear Logistic Models with Relaxed Assumptions in R
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    Chapter 35 An Approach for Topic Trend Detection
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    Chapter 36 Modified Randomized Modularity Clustering: Adapting the Resolution Limit
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    Chapter 37 Cluster It! Semiautomatic Splitting and Naming of Classification Concepts
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    Chapter 38 A Theoretical and Empirical Analysis of the Black-Litterman Model
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    Chapter 39 Vulnerability of Copula-VaR to Misspecification of Margins and Dependence Structure
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    Chapter 40 Dynamic Principal Component Analysis: A Banking Customer Satisfaction Evaluation
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    Chapter 41 Comparison of Some Chosen Tests of Independence of Value-at-Risk Violations
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    Chapter 42 Fundamental Portfolio Construction Based on Mahalanobis Distance
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    Chapter 43 Multivariate Modelling of Cross-Commodity Price Relations Along the Petrochemical Value Chain
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    Chapter 44 Lifestyle Segmentation Based on Contents of Uploaded Images Versus Ratings of Items
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    Chapter 45 Optimal Network Revenue Management Decisions Including Flexible Demand Data and Overbooking
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    Chapter 46 Non-symmetrical Correspondence Analysis of Abbreviated Hard Laddering Interviews
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    Chapter 47 Antecedents and Outcomes of Participation in Social Networking Sites
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    Chapter 48 User-Generated Content for Image Clustering and Marketing Purposes
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    Chapter 49 Logic Based Conjoint Analysis Using the Commuting Quantum Query Language
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    Chapter 50 Product Design Optimization Using Ant Colony And Bee Algorithms: A Comparison
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    Chapter 51 Comparison of Classical and Sequential Design of Experiments in Note Onset Detection
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    Chapter 52 Recognising Cello Performers Using Timbre Models
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    Chapter 53 A Case Study About the Effort to Classify Music Intervals by Chroma and Spectrum Analysis
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    Chapter 54 Computational Prediction of High-Level Descriptors of Music Personal Categories
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    Chapter 55 High Performance Hardware Architectures for Automated Music Classification
Overall attention for this book and its chapters
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Title
Algorithms from and for Nature and Life
Published by
Springer International Publishing, August 2013
DOI 10.1007/978-3-319-00035-0
ISBNs
978-3-31-900034-3, 978-3-31-900035-0
Editors

Lausen, Berthold, Van den Poel, Dirk, Ultsch, Alfred

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Italy 1 1%
Cuba 1 1%
Ecuador 1 1%
South Africa 1 1%
Unknown 67 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 28%
Researcher 18 25%
Student > Master 11 15%
Student > Bachelor 6 8%
Other 4 6%
Other 10 14%
Unknown 3 4%
Readers by discipline Count As %
Computer Science 26 36%
Engineering 10 14%
Economics, Econometrics and Finance 4 6%
Environmental Science 4 6%
Agricultural and Biological Sciences 3 4%
Other 19 26%
Unknown 6 8%