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Classification as a Tool for Research

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Hierarchical Clustering with Performance Guarantees
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    Chapter 2 Alignment Free String Distances for Phylogeny
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    Chapter 3 Data Quality Dependent Decision Making in Pattern Classification
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    Chapter 4 Clustering Proteins and Reconstructing Evolutionary Events
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    Chapter 5 Microarray Dimension Reduction Based on Maximizing Mantel Correlation Coefficients Using a Genetic Algorithm Search Strategy
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    Chapter 6 Multiparameter Hierarchical Clustering Methods
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    Chapter 7 Unsupervised Sparsification of Similarity Graphs
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    Chapter 8 Simultaneous Clustering and Dimensionality Reduction Using Variational Bayesian Mixture Model
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    Chapter 9 A Partitioning Method for the Clustering of Categorical Variables
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    Chapter 10 Treed Gaussian Process Models for Classification
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    Chapter 11 Ridgeline Plot and Clusterwise Stability as Tools for Merging Gaussian Mixture Components
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    Chapter 12 Clustering with Confidence: A Low-Dimensional Binning Approach
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    Chapter 13 Local Classification of Discrete Variables by Latent Class Models
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    Chapter 14 A Comparative Study on Discrete Discriminant Analysis through a Hierarchical Coupling Approach
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    Chapter 15 A Comparative Study of Several Parametric and Semiparametric Approaches for Time Series Classification
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    Chapter 16 Finite Dimensional Representation of Functional Data with Applications
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    Chapter 17 Clustering Spatio-Functional Data: A Model Based Approach
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    Chapter 18 Use of Mixture Models in Multiple Hypothesis Testing with Applications in Bioinformatics
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    Chapter 19 Finding Groups in Ordinal Data: An Examination of Some Clustering Procedures
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    Chapter 20 An Application of One-mode Three-way Overlapping Cluster Analysis
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    Chapter 21 Evaluation of Clustering Results: The Trade-off Bias-Variability
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    Chapter 22 Cluster Structured Multivariate Probability Distribution with Uniform Marginals
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    Chapter 23 Analysis of Diversity-Accuracy Relations in Cluster Ensemble
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    Chapter 24 Linear Discriminant Analysis with more Variables than Observations: A not so Naive Approach
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    Chapter 25 Fast Hierarchical Clustering from the Baire Distance
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    Chapter 26 The Trend Vector Model: Identification and Estimation in SAS
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    Chapter 27 Discrete Beta-Type Models
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    Chapter 28 The R Package DAKS : Basic Functions and Complex Algorithms in Knowledge Space Theory
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    Chapter 29 Methods for the Analysis of Skew-Symmetry in Asymmetric Multidimensional Scaling
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    Chapter 30 Canonical Correspondence Analysis in Social Science Research
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    Chapter 31 Exploring Data Through Archetypes
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    Chapter 32 Exploring Sensitive Topics: Sensitivity, Jeopardy, and Cheating
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    Chapter 33 Sampling the Join of Streams
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    Chapter 34 The R Package fechner for Fechnerian Scaling
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    Chapter 35 Asymptotic Behaviour in Symbolic Markov Chains
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    Chapter 36 An Interactive Graphical System for Visualizing Data Quality–Tableplot Graphics
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    Chapter 37 Symbolic Multidimensional Scaling Versus Noisy Variables and Outliers
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    Chapter 38 Principal Components Analysis for Trapezoidal Fuzzy Numbers
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    Chapter 39 Factor Selection in Observational Studies – An Application of Nonlinear Factor Selection to Propensity Scores
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    Chapter 40 Nonlinear Mapping Using a Hybrid of PARAMAP and Isomap Approaches
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    Chapter 41 Dimensionality Reduction Techniques for Streaming Time Series: A New Symbolic Approach
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    Chapter 42 A Batesian Semiparametric Generalized Linear Model with Random Effects Using Dirichlet Process Priors
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    Chapter 43 Exact Confidence Intervals for Odds Ratios with Algebraic Statistics
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    Chapter 44 The CHIC Analysis Software v1.0
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    Chapter 45 Clustering the Roman Heaven: Uncovering the Religious Structures in the Roman Province Germania Superior
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    Chapter 46 Geochemical and Statistical Investigation of Roman Stamped Tiles of the Legio XXI Rapax
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    Chapter 47 Land Cover Classification by Multisource Remote Sensing: Comparing Classifiers for Spatial Data
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    Chapter 48 Are there Cluster of Communities with the Same Dynamic Behaviour?
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    Chapter 49 Land Cover Detection with Unsupervised Clustering and Hierarchical Partitioning
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    Chapter 50 Using Advanced Regression Models for Determining Optimal Soil Heterogeneity Indicators
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    Chapter 51 Local Analysis of SNP Data
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    Chapter 52 Airborne Particulate Matter and Adverse Health Events: Robust Estimation of Timescale Effects
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    Chapter 53 Identification of Specific Genomic Regions Responsible for the Invasivity of Neisseria Meningitidis
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    Chapter 54 Classification of ABC Transporters Using Community Detection
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    Chapter 55 Estimation of the Number of Sustained Viral Responders by Interferon Therapy Using Random Numbers with a Logistic Model
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    Chapter 56 Virtual High Throughput Screening Using Machine Learning Methods
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    Chapter 57 Network Analysis of Works on Clustering and Classification from Web of Science
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    Chapter 58 Recommending in Social Tagging Systems Based on Kernelized Multiway Analysis
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    Chapter 59 Dynamic Population Segmentation in Online Market Monitoring
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    Chapter 60 Gaining ‘Consumer Insights’ from Influential Actors in Weblog Networks
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    Chapter 61 Visualising a Text with a Tree Cloud
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    Chapter 62 A Tree Kernel Based on Classification and Citation Data to Analyse Patent Documents
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    Chapter 63 A New SNA Centrality Measure Quantifying the Distance to the Nearest Center
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    Chapter 64 Mining Innovative Ideas to Support New Product Research and Development
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    Chapter 65 The Basis of Credit Scoring: On the Definition of Credit Default Events
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    Chapter 66 Forecasting Candlesticks Time Series with Locally Weighted Learning Methods
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    Chapter 67 An Analysis of Alternative Methods for Measuring Long-Run Performance: An Application to Share Repurchase Announcements
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    Chapter 68 Knowledge Discovery in Stock Market Data
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    Chapter 69 The Asia Financial Crises and Exchange Rates: Had there been Volatility Shifts for Asian Currencies?
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    Chapter 70 The Pricing of Risky Securities in a Fuzzy Least Square Regression Model
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    Chapter 71 Classification of the Indo-European Languages Using a Phylogenetic Network Approach
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    Chapter 72 Parsing as Classification
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    Chapter 73 Comparing the Stability of Clustering Results of Dialect Data Based on Several Distance Matrices
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    Chapter 74 Marketing and Regional Sales: Evaluation of Expenditure Strategies by Spatial Sales Response Functions
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    Chapter 75 A Demand Learning Data Based Approach to Optimize Revenues of a Retail Chain
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    Chapter 76 Missing Values and the Consistency Problem Concerning AHP Data
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    Chapter 77 Monte Carlo Methods in the Assessment of New Products: A Comparison of Different Approaches
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    Chapter 78 Preference Analysis and Product Design in Markets for Elderly People: A Comparison of Methods and Approaches
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    Chapter 79 Usefulness of A Priori Information about Customers for Market Research: An Analysis for Personalisation Aspects in Retailing
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    Chapter 80 Importance of Consumer Preferences on the Diffusion of Complex Products and Systems
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    Chapter 81 Household Possession of Consumer Durables on Background of some Poverty Lines
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    Chapter 82 Effect of Consumer Perceptions of Web Site Brand Personality and Web Site Brand Association on Web Site Brand Image
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    Chapter 83 Perceptually Based Phoneme Recognition in Popular Music
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    Chapter 84 SVM Based Instrument and Timbre Classification
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    Chapter 85 Three-way Scaling and Clustering Approach to Musical Structural Analysis
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    Chapter 86 Improving GMM Classifiers by Preliminary One-class SVM Outlier Detection: Application to Automatic Music Mood Estimation
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    Chapter 87 Multiobjective Optimization for Decision Support in Automated 2.5D System-in-Package Electronics Design
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    Chapter 88 Multi-Objective Quality Assessment for EA Parameter Tuning
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    Chapter 89 A Novel Multi-Objective Target Value Optimization Approach
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    Chapter 90 Desirability-Based Multi-Criteria Optimisation of HVOF Spray Experiments
Overall attention for this book and its chapters
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Title
Classification as a Tool for Research
Published by
Springer Berlin Heidelberg, August 2010
DOI 10.1007/978-3-642-10745-0
ISBNs
978-3-64-210744-3, 978-3-64-210745-0
Editors

Locarek-Junge, Hermann, Weihs, Claus

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
United Kingdom 3 3%
Brazil 2 2%
Japan 1 1%
France 1 1%
Unknown 77 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Student > Master 20 23%
Researcher 15 17%
Student > Bachelor 7 8%
Professor > Associate Professor 6 7%
Other 16 18%
Unknown 4 5%
Readers by discipline Count As %
Computer Science 26 30%
Business, Management and Accounting 11 13%
Engineering 11 13%
Mathematics 9 10%
Psychology 6 7%
Other 21 24%
Unknown 4 5%