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ocn424512043 |
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OCoLC |
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20200626104703.0 |
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m o d |
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cr un||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
090713s2009 gw a ob 001 0 eng d |
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GW5XE |
| Language of cataloging |
eng |
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pn |
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GW5XE |
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IXA |
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HEBIS |
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OCLCQ |
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HNK |
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OCLCQ |
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09,N21,0102 |
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dnb |
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994021925 |
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DE-101 |
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999723359 |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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9783642018053 |
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| International Standard Book Number |
364201805X |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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9783642018046 |
| Qualifying information |
(pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
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3642018041 |
| Qualifying information |
(pbk.) |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.1007/978-3-642-01805-3 |
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doi |
| 028 52 - PUBLISHER NUMBER |
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| Publisher number |
12654949 |
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AU@ |
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DKDLA |
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HEBIS |
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222477946 |
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NLGGC |
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384176151 |
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NZ1 |
| System control number |
12924609 |
| 035 ## - SYSTEM CONTROL NUMBER |
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(OCoLC)424512043 |
| Canceled/invalid control number |
(OCoLC)416204656 |
| -- |
(OCoLC)488555545 |
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(OCoLC)647793128 |
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(OCoLC)769035846 |
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(OCoLC)880322366 |
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(OCoLC)964913002 |
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(OCoLC)985062476 |
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(OCoLC)1005796848 |
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(OCoLC)1044563540 |
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(OCoLC)1055466736 |
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(OCoLC)1066612598 |
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(OCoLC)1067080469 |
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(OCoLC)1081187964 |
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(OCoLC)1097258148 |
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(OCoLC)1110297062 |
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(OCoLC)1110799316 |
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(OCoLC)1112577815 |
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(OCoLC)1114581226 |
| 037 ## - SOURCE OF ACQUISITION |
|---|
| Stock number |
978-3-642-01804-6 |
| Source of stock number/acquisition |
Springer |
| Note |
http://www.springerlink.com |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.S56 2009 |
| 055 #3 - CLASSIFICATION NUMBERS ASSIGNED IN CANADA |
|---|
| Classification number |
QA75 |
| Item number |
.L38 no.5400 |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
PSA |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
UB |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
COM014000 |
| Source |
bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3/1 |
| Edition number |
22 |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
R-39 |
| Number source |
clc |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
SS 4800 |
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rvk |
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|---|
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BIO 110f |
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stub |
| 084 ## - OTHER CLASSIFICATION NUMBER |
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DAT 758f |
| Number source |
stub |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
DAT 777f |
| Number source |
stub |
| 084 ## - OTHER CLASSIFICATION NUMBER |
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| Classification number |
DAT 708f |
| Number source |
stub |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
MAIN |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Similarity-based clustering : |
| Remainder of title |
recent developments and biomedical applications / |
| Statement of responsibility, etc. |
Michael Biehl [and others] (eds.). |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Berlin ; |
| -- |
New York : |
| Name of publisher, distributor, etc. |
Springer, |
| Date of publication, distribution, etc. |
©2009. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (ix, 201 pages) : |
| Other physical details |
illustrations (some color) |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Lecture notes in computer science, |
| International Standard Serial Number |
0302-9743. |
| Series statement |
Lecture notes in artificial intelligence ; |
| Volume/sequential designation |
5400 |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
State-of-the-art survey |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Serienbezeichnung |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 588 0# - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Print version record. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
I: Dynamics of Similarity-Based Clustering -- Statistical Mechanics of On-line Learning -- Some Theoretical Aspects of the Neural Gas Vector Quantizer -- Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings -- II: Information Representation -- Advances in Feature Selection with Mutual Information -- Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data -- Median Topographic Maps for Biomedical Data Sets -- Visualization of Structured Data via Generative Probabilistic Modeling -- III: Particular Challenges in Applications -- Learning Highly Structured Manifolds: Harnessing the Power of SOMs -- Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images -- HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular challenging applications are considered. Topics discussed concern a theoretical investigation and foundation of prototype based learning algorithms, the development and extension of models to directions such as general data structures and the application for the domain of medicine and biology. Similarity based methods find widespread applications in diverse application domains, including biomedical problems, but also in remote sensing, geoscience or other technical domains. The presentations give a good overview about important research results in similarity-based learning, whereby the character of overview articles with references to correlated research articles makes the contributions particularly suited for a first reading concerning these topics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| General subdivision |
Development. |
| 9 (RLIN) |
35111 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Medical electronics. |
| 9 (RLIN) |
35112 |
| 650 07 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Medical electronics. |
| Source of heading or term |
cct |
| 9 (RLIN) |
35112 |
| 650 07 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| General subdivision |
Development. |
| Source of heading or term |
cct |
| 9 (RLIN) |
35111 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Informatique. |
| Source of heading or term |
eclas |
| 9 (RLIN) |
14930 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Medical electronics. |
| Source of heading or term |
fast |
| Authority record control number |
(OCoLC)fst01014061 |
| 9 (RLIN) |
35112 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Anwendung |
| Source of heading or term |
gnd |
| 9 (RLIN) |
2109 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Automatische Klassifikation |
| Source of heading or term |
gnd |
| 9 (RLIN) |
19474 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data Mining |
| Source of heading or term |
gnd |
| 9 (RLIN) |
35113 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Maschinelles Lernen |
| Source of heading or term |
gnd |
| 9 (RLIN) |
35114 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Visualisierung |
| Source of heading or term |
gnd |
| 9 (RLIN) |
373 |
| 655 #4 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 9 (RLIN) |
396 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Biehl, Michael, |
| Dates associated with a name |
1964- |
| 9 (RLIN) |
35115 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Print version: |
| Title |
Similarity-based clustering. |
| Place, publisher, and date of publication |
Berlin ; New York : Springer, ©2009 |
| International Standard Book Number |
9783642018046 |
| Record control number |
(OCoLC)401153820 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Lecture notes in computer science. |
| 9 (RLIN) |
35116 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Lecture notes in computer science. |
| Name of part/section of a work |
Lecture notes in artificial intelligence ; |
| Volume number/sequential designation |
5400. |
| 9 (RLIN) |
14916 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Lecture notes in computer science. |
| Name of part/section of a work |
State-of-the-art survey. |
| 9 (RLIN) |
19219 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://link-springer-com.libraryproxy.ist.ac.at/book/10.1007/978-3-642-01805-3">https://link-springer-com.libraryproxy.ist.ac.at/book/10.1007/978-3-642-01805-3</a> |
| 938 ## - |
|---|
| -- |
ProQuest Ebook Central |
| -- |
EBLB |
| -- |
EBL3064204 |
| 938 ## - |
|---|
| -- |
ebrary |
| -- |
EBRY |
| -- |
ebr10303186 |
| 938 ## - |
|---|
| -- |
YBP Library Services |
| -- |
YANK |
| -- |
3075215 |
| 994 ## - |
|---|
| -- |
92 |
| -- |
ATIST |