Pattern Recognition Algorithms for Data Mining by Sankar K Pal
Addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. It concludes by highlighting the significance of granular computing for different mining tasks in a soft paradigm.-
R Programming for Bioinformatics
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Music Data Analysis
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Bayesian Artificial Intelligence
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Visualization and Verbalization of Data
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Introduction to Data Technologies
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Combinatorial Inference in Geometric Data Analysis
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Time Series Clustering and Classification
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Correspondence Analysis and Data Coding with Java and R
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Semisupervised Learning for Computational Linguistics
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Design and Modeling for Computer Experiments
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Microarray Image Analysis
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Data Science Foundations
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Textual Data Science with R
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Modeling Data With Functional Programming in R
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Computational Statistics Handbook with MATLAB
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Bayesian Regression Modeling with INLA
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Exploratory Multivariate Analysis by Example Using R
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Statistics in MATLAB
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Pattern Recognition Algorithms for Data Mining |
| Author | Sankar K Pal |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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