Pattern recognition approach to data interpretation:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Plenum Press
1983
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIII, 223 S. |
| ISBN: | 0306413027 |
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| 100 | 1 | |a Wolff, Diane D. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Pattern recognition approach to data interpretation |c Diane D. Wolff and Michael L. Parsons |
| 264 | 1 | |a New York [u.a.] |b Plenum Press |c 1983 | |
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| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Experimental design |x Data processing | |
| 650 | 4 | |a Statistics |x Data processing | |
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Datensatz im Suchindex
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CONTENTS
PREFACE vii
I
PHILOSOPHICAL CONSIDERATIONS AND COMPUTER PACKAGES
1.1. PHILOSOPHICAL CONSIDERATIONS 1
Introduction 1
Data Considerations 1
Pattern Recognition Approach 2
Pattern Recognition Questions 3
Pattern Recognition Nomenclature 4
Variable Coding 5
Categorization of Data 6
Considerations to Keep in Mind 7
Programs to Be Discussed 7
Possible Approaches 8
1.2. BIOMEDICAL COMPUTER PROGRAM (BMDP) 8
Introduction 8
Program Groups 8
BMDP Control Language 9
1.3. STATISTICAL PACKAGE FOR THE SOCIAL SCIENCES (SPSS) 10
Introduction 10
Package Structure , 10
SPSS Programs 11
SPSS Control Language 11
1.4. ARTHUR 11
Introduction 11
ARTHUR Control Language 12
ARTHUR Programs 12
1.5. CLUSTAN 13
Introduction 13
CLUSTAN Format 13
1.6. SAS 13
Introduction 13
SAS Programming 14
Procedures Available 14
ix
x CONTENTS
II
PATTERN RECOGNITION APPROACH TO DATA ANALYSIS
Introduction 17
11.1. PRELIMINARY DATA EXAMINATION 18
Introduction 18
Step H.la. Computer Compatibility 18
Step II.lb. Eliminating Format Errors 20
Step II.lc. Data Listing 22
Step II.Id. Variable Distributions 22
Step II. le. Identifying Unique Cases 25
Step II.If. Variable Distributions After Elimination 26
Step II.lg. Introductory Statistics 26
Standard Scores 30
11.2. DATA STRATIFICATION 30
Introduction 30
* Tests 30
Step II.2a. Comparison of Two Groups 32
Analysis of Variance 34
Step II.2b. Comparisons of All Groups Simultaneously 35
Multiple Way Analysis of Variance 36
Step H.2c. Variable Subgroups 38
Chi Square Test 40
Other Similar Programs 41
11.3. INTERVARIABLE RELATIONSHIPS 41
Introduction 41
Correlation Coefficients 41
Step II.3a. Calculation of Correlation Coefficients 42
Correlation Results 44
Step II.3b. Bivariate Plots 44
Partial Correlations 48
Step II.3c. Partial Correlations 49
Step II.3d. Clustering of Variables 50
Results of the Clustering 51
Canonical Correlations 53
Step II.3e. Application of Canonical Correlations 54
Regression Analysis 57
Step II.3f. Regression Analysis 58
Stepwise Regression 62
Summary 63
PLS 2 63
Nonparametric Statistics 64
11.4. UNSUPERVISED LEARNING TECHNIQUES 64
Introduction 64
Cluster Analysis 65
Data Set Considered 65
Step H.4a. Minimal Spanning Tree 66
Drawing of the Tree 66
Cluster Definition 70
Minimal Spanning Tree Results 70
Step II.4b. Hierarchical Clustering 71
CONTENTS xi
Description of the Dendrogram 71
Other Hierarchical Clustering Programs 74
Step II.4c. Nonlinear Mapping 74
Summary 76
Step H.4d. CLUSTAN 76
Hierarchical Techniques in CLUSTAN 77
Other Clustering Techniques 78
Summary 79
11.5. SUPERVISED LEARNING TECHNIQUES 79
Introduction 79
Step II.5a. fc Nearest Neighbors 80
Testing Supervised Results 82
Step II.5b. Discriminant Analysis 83
Results from Discriminant Analysis 86
Other Discriminant Programs 88
Comparison of Discriminant Programs 91
11.6. VARIABLE REDUCTION 91
Introduction 91
Tools from Previous Steps 92
Step II.6a. Selection of Variables 92
Principal Component and Factor Analysis 94
Step II.6b. Principal Component Analysis 95
Classical Factor Analysis 98
Data Considerations 99
Factor Choices 99
Step II.6c. Classical Factor Analysis 100
Factor Rotations 104
Underlying Variable Factor Analysis 105
H.7. DATA MANIPULATIONS 105
Introduction 105
SPSS Capabilities 106
BMDP and ARTHUR Alterations 107
III
IMPLEMENTATION
Introduction 109
111.1. TYPICAL SPSS RUNS 110
Introduction 110
Card Deck Ill
Data Format Statement 115
Missing Data 115
Statistical Procedures *' *
Category Definitions '"
File Saving 118
111.2. TYPICAL ARTHUR RUNS n9
Introduction * '*
Input Card 122
Task Definition Cards 123
Test Data 124
xii CONTENTS
111.3. TYPICAL BMDP RUNS 124
Introduction 124
Card Deck 125
Variable Information 127
Data Grouping 128
111.4. SPSS IMPLEMENTATIONS 129
Introduction 129
cancorr 130
condescriptive 131
crosstabs 131
discriminant 133
FACTOR 134
FREQUENCIES 135
NONPAR CORR 136
PARTIAL CORR 136
PEARSON CORR 137
REGRESSION 137
SCATTERGRAM 139
T TEST 139
111.5. ARTHUR IMPLEMENTATIONS 140
Introduction 140
correl 140
DISTANCE 141
HIER 141
KARLOV 142
KNN 142
MULTI 142
NLM 143
PLANE 143
SCALE 143
SELECT 144
TREE 145
VARVAR 145
WEIGHT 145
111.6. BMDP PROGRAMS 146
Introduction 146
bmdpid 146
BMDP2D 147
BMDP3D 148
BMDP4D 148
BMDP5D 149
BMDP6D 150
BMDP1M 151
BMDP2M 151
BMDP4M 152
BMDP6M 153
BMDP7M 154
BMDP1R 155
BMDP2R 156
CONTENTS xiii
BMDP4R 157
BMDP6R 158
BMDP3S 159
IV
NATURAL SCIENCE APPLICATIONS
Introduction 161
Biological Applications 161
Medical Applications 164
Geological and Earth Science Applications 166
Environmental Applications 168
Physics Applications 169
Chemical Applications 170
Summary 172
REFERENCES 173
APPENDIX I. PATTERN RECOGNITION DEFINITIONS AND
REFERENCE BOOKS 177
APPENDIX II. THE MULTIVARIATE NORMAL DISTRIBUTION 181
APPENDIX III. DATA BASE DESCRIPTION 183
APPENDIX IV. INDICES OF BMDP, SPSS, AND ARTHUR PACKAGES 195
APPENDIX V. PROGRAMS, MANUALS, AND REFERENCE
INFORMATION 199
APPENDIX VI. SUMMARY OF ANALYSES AND PROGRAM CROSS
REFERENCE FOR CHAPTER II 203
APPENDIX VII. NONPARAMETRIC STATISTICS 209
APPENDIX VIII. MISSING VALUES 213
APPENDIX IX. STANDARD SCORES AND WEIGHTINGS 217
SUBJECT INDEX 221
COMPUTER PROGRAM INDEX 223 |
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| spelling | Wolff, Diane D. Verfasser aut Pattern recognition approach to data interpretation Diane D. Wolff and Michael L. Parsons New York [u.a.] Plenum Press 1983 XIII, 223 S. txt rdacontent n rdamedia nc rdacarrier Plan d'expérience - Informatique Statistique - Informatique Datenverarbeitung Statistik Experimental design Data processing Statistics Data processing Mustererkennung (DE-588)4040936-3 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Datenauswertung (DE-588)4131193-0 gnd rswk-swf Mustererkennung (DE-588)4040936-3 s Datenauswertung (DE-588)4131193-0 s DE-604 Statistik (DE-588)4056995-0 s Parsons, Michael L. Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001333063&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wolff, Diane D. Parsons, Michael L. Pattern recognition approach to data interpretation Plan d'expérience - Informatique Statistique - Informatique Datenverarbeitung Statistik Experimental design Data processing Statistics Data processing Mustererkennung (DE-588)4040936-3 gnd Statistik (DE-588)4056995-0 gnd Datenauswertung (DE-588)4131193-0 gnd |
| subject_GND | (DE-588)4040936-3 (DE-588)4056995-0 (DE-588)4131193-0 |
| title | Pattern recognition approach to data interpretation |
| title_auth | Pattern recognition approach to data interpretation |
| title_exact_search | Pattern recognition approach to data interpretation |
| title_full | Pattern recognition approach to data interpretation Diane D. Wolff and Michael L. Parsons |
| title_fullStr | Pattern recognition approach to data interpretation Diane D. Wolff and Michael L. Parsons |
| title_full_unstemmed | Pattern recognition approach to data interpretation Diane D. Wolff and Michael L. Parsons |
| title_short | Pattern recognition approach to data interpretation |
| title_sort | pattern recognition approach to data interpretation |
| topic | Plan d'expérience - Informatique Statistique - Informatique Datenverarbeitung Statistik Experimental design Data processing Statistics Data processing Mustererkennung (DE-588)4040936-3 gnd Statistik (DE-588)4056995-0 gnd Datenauswertung (DE-588)4131193-0 gnd |
| topic_facet | Plan d'expérience - Informatique Statistique - Informatique Datenverarbeitung Statistik Experimental design Data processing Statistics Data processing Mustererkennung Datenauswertung |
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