Classification, Clustering, and Data Analysis: Recent Advances and Applications: Studies in Classification, Data Analysis, and Knowledge Organization
Editat de Krzystof Jajuga, Andrzej Sokolowski, Hans-Hermann Bocken Limba Engleză Paperback – 26 iun 2002
Din seria Studies in Classification, Data Analysis, and Knowledge Organization
- 20% Preț: 1203.30 lei
- 20% Preț: 587.28 lei
- Preț: 369.06 lei
- 18% Preț: 839.40 lei
- 15% Preț: 619.90 lei
- 18% Preț: 922.20 lei
- 18% Preț: 963.44 lei
- Preț: 395.49 lei
- 15% Preț: 611.10 lei
- 18% Preț: 1054.19 lei
- 15% Preț: 625.20 lei
- 20% Preț: 583.37 lei
- 15% Preț: 603.96 lei
- Preț: 384.74 lei
- 20% Preț: 944.62 lei
- 18% Preț: 907.40 lei
- 18% Preț: 903.98 lei
- 18% Preț: 742.70 lei
- 20% Preț: 946.65 lei
- 18% Preț: 1317.83 lei
- 15% Preț: 622.58 lei
- 18% Preț: 913.10 lei
- 18% Preț: 911.45 lei
- 20% Preț: 959.47 lei
- 15% Preț: 615.44 lei
- 15% Preț: 618.37 lei
- 15% Preț: 613.56 lei
- 20% Preț: 585.29 lei
- 24% Preț: 795.77 lei
- 20% Preț: 1387.07 lei
- 20% Preț: 559.43 lei
- 15% Preț: 613.42 lei
- 15% Preț: 615.74 lei
- 15% Preț: 613.56 lei
- Preț: 377.27 lei
- 20% Preț: 572.08 lei
- 15% Preț: 605.85 lei
- 15% Preț: 647.34 lei
- 15% Preț: 658.33 lei
- Preț: 401.13 lei
- 18% Preț: 895.30 lei
- 15% Preț: 618.21 lei
- Preț: 370.87 lei
- 20% Preț: 561.11 lei
- 20% Preț: 949.62 lei
- 15% Preț: 606.60 lei
- 20% Preț: 954.16 lei
- 15% Preț: 612.02 lei
- 15% Preț: 618.21 lei
Preț: 944.14 lei
Preț vechi: 1180.18 lei
-20% Nou
Puncte Express: 1416
Preț estimativ în valută:
180.79€ • 195.55$ • 150.65£
180.79€ • 195.55$ • 150.65£
Carte tipărită la comandă
Livrare economică 11-25 decembrie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783540436911
ISBN-10: 354043691X
Pagini: 508
Ilustrații: XI, 508 p. 20 illus.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.69 kg
Ediția:2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 354043691X
Pagini: 508
Ilustrații: XI, 508 p. 20 illus.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.69 kg
Ediția:2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
I. Clustering and Discrimination.- Clustering.- Some Thoughts about Classification.- Partial Defuzzification of Fuzzy Clusters.- A New Clustering Approach, Based on the Estimation of the Probability Density Function, for Gene Expression Data.- Two-mode Partitioning: Review of Methods and Application of Tabu Search.- Dynamical Clustering of Interval Data Optimization of an Adequacy Criterion Based on Hausdorff Distance.- Removing Separation Conditions in a 1 against 3-Components Gaussian Mixture Problem.- Obtaining Partitions of a Set of Hard or Fuzzy Partitions.- Clustering for Prototype Selection using Singular Value Decomposition.- Clustering in High-dimensional Data Spaces.- Quantization of Models: Local Approach and Asymptotically Optimal Partitions.- The Performance of an Autonomous Clustering Technique.- Cluster Analysis with Restricted Random Walks.- Missing Data in Hierarchical Classification of Variables — a Simulation Study.- Cluster Validation.- Representation and Evaluation of Partitions.- Assessing the Number of Clusters of the Latent Class Model..- Validation of Very Large Data Sets Clustering by Means of a Nonparametric Linear Criterion.- Discrimination.- Effect of Feature Selection on Bagging Classifiers Based on Kernel Density Estimators.- Biplot Methodology for Discriminant Analysis Based upon Robust Methods and Principal Curves.- Bagging Combined Classifiers.- Application of Bayesian Decision Theory to Constrained Classification Networks.- II. Multivariate Data Analysis and Statistics.- Multivariate Data Analysis.- Quotient Dissimilarities, Euclidean Embeddability, and Huygens’ Weak Principle.- Conjoint Analysis and Stimulus Presentation — a Comparison of Alternative Methods.- Grade Correspondence-cluster Analysis Applied to Separate Componentsof Reversely Regular Mixtures.- Obtaining Reducts with a Genetic Algorithm.- A Projection Algorithm for Regression with Collinearity.- Confronting Data Analysis with Constructivist Philosophy.- Statistical Methods.- Maximum Likelihood Clustering with Outliers.- An Improved Method for Estimating the Modes of the Probability Density Function and the Number of Classes for PDF-based Clustering.- Maximization of Measure of Allowable Sample Sizes Region in Stratified Sampling.- On Estimation of Population Averages on the Basis of Cluster Sample.- Symbolic Data Analysis.- Symbolic Regression Analysis.- Modelling Memory Requirement with Normal Symbolic Form.- Mixture Decomposition of Distributions by Copulas.- Determination of the Number of Clusters for Symbolic Objects Described by Interval Variables.- Symbolic Data Analysis Approach to Clustering Large Datasets.- Symbolic Class Descriptions.- Consensus Trees and Phylogenetics.- A Comparison of Alternative Methods for Detecting Reticulation Events in Phylogenetic Analysis.- Hierarchical Clustering of Multiple Decision Trees.- Multiple Consensus Trees.- A Family of Average Consensus Methods for Weighted Trees.- Comparison of Four methods for Inferring Additive Trees from Incomplete Dissimilarity Matrices.- Quartet Trees as a Tool to Reconstruct Large Trees from Sequences.- Regression Trees.- Regression Trees for Longitudinal Data with Time-dependent Covariates.- Tree-based Models in Statistics: Three Decades of Research.- Computationally Efficient Linear Regression Trees.- Neural Networks and Genetic Algorithms.- A Clustering Based Procedure for Learning the Hidden Unit Parameters in Elliptical Basis Function Networks.- Multi-layer Perceptron on Interval Data.- III. Applications.- Textual Analysis of Customer Statements for Quality Control and Help Desk Support.- AHP as Support for Strategy Decision Making in Banking.- Bioinformatics and Classification: The Analysis of Genome Expression Data.- Glaucoma Diagnosis by Indirect Classifiers.- A Cluster Analysis of the Importance of Country and Sector on Company Returns.- Problems of Classification in Investigative Psychology.- List of Reviewers.
Caracteristici
Includes supplementary material: sn.pub/extras