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: 253.76 lei - 20%
Preț: 607.26 lei -
Preț: 383.03 lei -
Preț: 376.55 lei - 20%
Preț: 605.44 lei - 18%
Preț: 983.03 lei - 15%
Preț: 668.16 lei -
Preț: 401.53 lei - 15%
Preț: 620.23 lei - 18%
Preț: 1067.38 lei - 15%
Preț: 624.63 lei - 24%
Preț: 861.26 lei - 15%
Preț: 613.00 lei - 15%
Preț: 624.95 lei - 20%
Preț: 958.63 lei - 15%
Preț: 614.90 lei -
Preț: 407.24 lei - 18%
Preț: 960.93 lei - 20%
Preț: 960.71 lei - 18%
Preț: 1069.81 lei - 18%
Preț: 926.66 lei - 15%
Preț: 634.54 lei - 18%
Preț: 924.99 lei - 20%
Preț: 973.70 lei - 15%
Preț: 627.62 lei - 15%
Preț: 621.17 lei - 20%
Preț: 631.35 lei - 24%
Preț: 656.31 lei - 15%
Preț: 629.18 lei - 20%
Preț: 970.06 lei -
Preț: 390.61 lei - 15%
Preț: 622.59 lei -
Preț: 374.71 lei - 15%
Preț: 622.73 lei - 18%
Preț: 920.88 lei - 20%
Preț: 619.14 lei - 18%
Preț: 977.74 lei - 15%
Preț: 657.00 lei - 18%
Preț: 753.77 lei - 20%
Preț: 635.57 lei - 18%
Preț: 851.87 lei - 15%
Preț: 627.45 lei - 18%
Preț: 1337.32 lei - 15%
Preț: 631.87 lei - 15%
Preț: 627.45 lei - 20%
Preț: 963.69 lei - 15%
Preț: 615.66 lei - 20%
Preț: 968.32 lei - 20%
Preț: 1245.58 lei
Preț: 958.14 lei
Preț vechi: 1197.68 lei
-20% Nou
Puncte Express: 1437
Preț estimativ în valută:
169.54€ • 199.08$ • 148.81£
169.54€ • 199.08$ • 148.81£
Carte tipărită la comandă
Livrare economică 27 ianuarie-10 februarie 26
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