組合數據分析

組合數據分析

《組合數據分析》是2011年2月由清華大學出版社出版的圖書,作者是休伯特。本書主要介紹了組合數據概念和分析,通過動態規划進行最佳化。

基本介紹

  • 書名:組合數據分析
  • 作者:休伯特
  • ISBN:9787302245018
  • 頁數:163頁
  • 定價:25.00元
  • 出版社:清華大學出版社
  • 出版時間:2011-2
  • 副標題:通過動態規划進行最佳化
  • 叢書:  Springer大學數學圖書
內容簡介,目錄,

內容簡介

《組合數據分析:通過動態規划進行最佳化》內容簡介:Combinatorial data analysis(CDA)refe rs to a wide class of methods for the study of relevant data sets in which the ar rangement of a collection of objects is absolutely central.Combinatorial Data Analysis:Optimization by Dynamic Programming focu ses on the identification of a rrangements,which a re then fu rther rest ricted to whe re the combinatorial sea rch is ca r ried out by a recu rsive optimization p rocess based on the gene ral principles of dynamic p rog ramming(DP). The authors provide a comprehen sive and self-contained review delineating a very general DP pa radigm,o r schema,that can se rve two functions.Fi rst,the pa radigm can be applied in va riou s special form s to encompass all previously p roposed applications suggested in the classification lite rature.Second,the pa radigm can lead directly to many mo re novel uses.An appendix is included as a user’s manual for a collection of prog ram s available as freeware.

目錄

Preface
1Introduction
2GeneralDynamicProgrammingParadigm
2.1AnIntroductoryExample:LinearAssignment
2.2TheGDPP
3ClusterAnalysis
3.1Partitioning
3.1.1AdmissibilityRestrictionsonPartitions
3.1.2PartitioningBasedonTwo-ModeProximityMatrices
3.2HierarchicalClustering
3.2.1HierarchicalClusteringandtheOptimalFittingofUltrametrics
3.2.2ConstrainedHierarchicalClustering
4ObjectSequencingandSeriation
4.1OptimalSequencingofaSingleObjectSet
4.1.1SymmetricOne-ModeProximityMatrices
4.1.2Skew-SymmetricOne-ModeProximityMatrices
4.1.3TWO-ModeProximityMatrices
4.1.4ObjectSequencingforSymmetricOne-ModeProximityMatricesBasedontheConstructionofOptimalPaths
4.2SequencinganObjectSetSubjecttoPrecedenceConstraints
4.3ConstructionofOptimalOrderedPartitions
5HeuristicApplicationsoftheGDPP
5.1ClusterAnalysis
5.2ObjectSequencingandSeriation
6ExtensionsandGeneralizations
61Introduction
6.1.1MultipleDataSources
6.1.2MultipleStructures
6.1.3UsesfortheInformationinthe
6.1.4APrioriWeightsforObjectsand/orProximities
6.2Prospects
Appendix:AvailablePrograms
Bibliography
AuthorIndex
SubjectIndex

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