000 | 04655nam a22006735i 4500 | ||
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001 | 978-3-642-01805-3 | ||
003 | DE-He213 | ||
005 | 20240730194210.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2009 gw | s |||| 0|eng d | ||
020 |
_a9783642018053 _9978-3-642-01805-3 |
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024 | 7 |
_a10.1007/978-3-642-01805-3 _2doi |
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050 | 4 | _aQH301-705 | |
072 | 7 |
_aPSA _2bicssc |
|
072 | 7 |
_aSCI086000 _2bisacsh |
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072 | 7 |
_aPSA _2thema |
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082 | 0 | 4 |
_a570 _223 |
245 | 1 | 0 |
_aSimilarity-Based Clustering _h[electronic resource] : _bRecent Developments and Biomedical Applications / _cedited by Thomas Villmann, M. Biehl, Barbara Hammer, Michel Verleysen. |
250 | _a1st ed. 2009. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2009. |
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300 |
_aXI, 203 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v5400 |
|
505 | 0 | _aI: 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 | _aThis 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 |
_aLife sciences. _9156119 |
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650 | 0 |
_aBioinformatics. _99561 |
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650 | 0 |
_aMedicine _xResearch. _99297 |
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650 | 0 |
_aBiology _xResearch. _987472 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aInformation storage and retrieval systems. _922213 |
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650 | 0 |
_aImage processing _xDigital techniques. _94145 |
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650 | 0 |
_aComputer vision. _9156120 |
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650 | 1 | 4 |
_aLife Sciences. _9156121 |
650 | 2 | 4 |
_aComputational and Systems Biology. _931619 |
650 | 2 | 4 |
_aBiomedical Research. _936670 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9156122 |
650 | 2 | 4 |
_aInformation Storage and Retrieval. _923927 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
700 | 1 |
_aVillmann, Thomas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9156123 |
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700 | 1 |
_aBiehl, M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9156124 |
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700 | 1 |
_aHammer, Barbara. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9156125 |
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700 | 1 |
_aVerleysen, Michel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9156126 |
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710 | 2 |
_aSpringerLink (Online service) _9156127 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783642018046 |
776 | 0 | 8 |
_iPrinted edition: _z9783642018060 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v5400 _9156128 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-642-01805-3 |
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