Clustering / (Record no. 41911)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06806nam a2201285 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 5236612 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191218152113.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 090727t20152009njua ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780470382776 |
| Qualifying information | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 0470276800 |
| Qualifying information | paper |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780470276808 |
| Qualifying information | paper |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 0470382783 |
| Qualifying information | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 0470382775 |
| Qualifying information | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780470382783 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9780470382776 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)mat05236612 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (IDAMS)0b00006481094c83 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA278 |
| Item number | .X8 2009eb |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA278 |
| Item number | .X87 2009eb |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5/3 |
| Edition number | 22 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.53 |
| Edition number | 22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Xu, Rui. |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Clustering / |
| Statement of responsibility, etc. | Rui Xu, Donald C. Wunsch II. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Piscataway, New Jersey : |
| Name of producer, publisher, distributor, manufacturer | IEEE Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | c2009. |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
| Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2008. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (x, 358 pages) : |
| Other physical details | illustrations. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE Press Series on Computational Intelligence ; |
| Volume/sequential designation | 10 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and indexes. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | PREFACE -- 1. CLUSTER ANALYSIS -- 1.1. Classifi cation and Clustering -- 1.2. Defi nition of Clusters -- 1.3. Clustering Applications -- 1.4. Literature of Clustering Algorithms -- 1.5. Outline of the Book -- 2. PROXIMITY MEASURES -- 2.1. Introduction -- 2.2. Feature Types and Measurement Levels -- 2.3. Defi nition of Proximity Measures -- 2.4. Proximity Measures for Continuous Variables -- 2.5. Proximity Measures for Discrete Variables -- 2.6. Proximity Measures for Mixed Variables -- 2.7. Summary -- 3. HIERARCHICAL CLUSTERING. -- 3.1. Introduction -- 3.2. Agglomerative Hierarchical Clustering -- 3.3. Divisive Hierarchical Clustering -- 3.4. Recent Advances -- 3.5. Applications -- 3.6. Summary -- 4. PARTITIONAL CLUSTERING -- 4.1. Introduction -- 4.2. Clustering Criteria -- 4.3. K-Means Algorithm -- 4.4. Mixture Density-Based Clustering -- 4.5. Graph Theory-Based Clustering -- 4.6. Fuzzy Clustering -- 4.7. Search Techniques-Based Clustering Algorithms -- 4.8. Applications -- 4.9. Summary -- 5. NEURAL NETWORK-BASED CLUSTERING -- 5.1. Introduction -- 5.2. Hard Competitive Learning Clustering -- 5.3. Soft Competitive Learning Clustering -- 5.4. Applications -- 5.5. Summary -- 6. KERNEL-BASED CLUSTERING -- 6.1. Introduction -- 6.2. Kernel Principal Component Analysis -- 6.3. Squared-Error-Based Clustering with Kernel Functions -- 6.4. Support Vector Clustering -- 6.5. Applications -- 6.6. Summary -- 7. SEQUENTIAL DATA CLUSTERING -- 7.1. Introduction -- 7.2. Sequence Similarity -- 7.3. Indirect Sequence Clustering -- 7.4. Model-Based Sequence Clustering -- 7.5. Applications--Genomic and Biological Sequence -- 7.6. Summary -- 8. LARGE-SCALE DATA CLUSTERING -- 8.1. Introduction -- 8.2. Random Sampling Methods -- 8.3. Condensation-Based Methods -- 8.4. Density-Based Methods -- 8.5. Grid-Based Methods -- 8.6. Divide and Conquer -- 8.7. Incremental Clustering -- 8.8. Applications -- 8.9. Summary -- 9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 9.1. Introduction -- 9.2. Linear Projection Algorithms -- 9.3. Nonlinear Projection Algorithms -- 9.4. Projected and Subspace Clustering -- 9.5. Applications -- 9.6. Summary -- 10. CLUSTER VALIDITY -- 10.1. Introduction -- 10.2. External Criteria -- 10.3. Internal Criteria -- 10.4. Relative Criteria -- 10.5. Summary -- 11. CONCLUDING REMARKS -- PROBLEMS -- REFERENCES -- AUTHOR INDEX -- SUBJECT INDEX. |
| 506 1# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
| 516 ## - TYPE OF COMPUTER FILE OR DATA NOTE | |
| Type of computer file or data note | Text. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Title from title screen. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on PDF viewed 12/21/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Cluster analysis. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Cluster analysis |
| General subdivision | Data processing. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 695 ## - | |
| -- | Sampling methods |
| 695 ## - | |
| -- | Search problems |
| 695 ## - | |
| -- | Sections |
| 695 ## - | |
| -- | Shape |
| 695 ## - | |
| -- | Sun |
| 695 ## - | |
| -- | Surgery |
| 695 ## - | |
| -- | Temperature measurement |
| 695 ## - | |
| -- | Time measurement |
| 695 ## - | |
| -- | Vectors |
| 695 ## - | |
| -- | Aerospace electronics |
| 695 ## - | |
| -- | Algorithm design and analysis |
| 695 ## - | |
| -- | Animals |
| 695 ## - | |
| -- | Approximation algorithms |
| 695 ## - | |
| -- | Artificial neural networks |
| 695 ## - | |
| -- | Bibliographies |
| 695 ## - | |
| -- | Binary trees |
| 695 ## - | |
| -- | Bioinformatics |
| 695 ## - | |
| -- | Biology |
| 695 ## - | |
| -- | Clustering algorithms |
| 695 ## - | |
| -- | Colon |
| 695 ## - | |
| -- | Complexity theory |
| 695 ## - | |
| -- | Convergence |
| 695 ## - | |
| -- | Couplings |
| 695 ## - | |
| -- | Covariance matrix |
| 695 ## - | |
| -- | DNA |
| 695 ## - | |
| -- | Data analysis |
| 695 ## - | |
| -- | Data mining |
| 695 ## - | |
| -- | Data structures |
| 695 ## - | |
| -- | Data visualization |
| 695 ## - | |
| -- | Databases |
| 695 ## - | |
| -- | Diseases |
| 695 ## - | |
| -- | Dynamic programming |
| 695 ## - | |
| -- | Eigenvalues and eigenfunctions |
| 695 ## - | |
| -- | Feature extraction |
| 695 ## - | |
| -- | Frequency modulation |
| 695 ## - | |
| -- | Genomics |
| 695 ## - | |
| -- | Heuristic algorithms |
| 695 ## - | |
| -- | Horses |
| 695 ## - | |
| -- | Humans |
| 695 ## - | |
| -- | Indexes |
| 695 ## - | |
| -- | Iterative algorithm |
| 695 ## - | |
| -- | Kernel |
| 695 ## - | |
| -- | Lead |
| 695 ## - | |
| -- | Lesions |
| 695 ## - | |
| -- | Minimization |
| 695 ## - | |
| -- | Nearest neighbor searches |
| 695 ## - | |
| -- | Neurons |
| 695 ## - | |
| -- | Nickel |
| 695 ## - | |
| -- | Noise |
| 695 ## - | |
| -- | Pain |
| 695 ## - | |
| -- | Partitioning algorithms |
| 695 ## - | |
| -- | Polynomials |
| 695 ## - | |
| -- | Principal component analysis |
| 695 ## - | |
| -- | Proteins |
| 695 ## - | |
| -- | Prototypes |
| 695 ## - | |
| -- | Q measurement |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wunsch, Donald C. |
| Relator code | aut |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | IEEE Xplore (Online Service), |
| Relator term | distributor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | John Wiley & Sons |
| Relator term | publisher. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9780470276808 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | IEEE Press Series on Computational Intelligence ; |
| Volume/sequential designation | 10 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to resource |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5236612 |
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