Concept Based Clustering Versus Numerical Taxonomy


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Concept-based Clustering Versus Numerical Taxonomy


Concept-based Clustering Versus Numerical Taxonomy

Author: Ryszard S. Michalski

language: en

Publisher:

Release Date: 1971


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New Approaches in Classification and Data Analysis


New Approaches in Classification and Data Analysis

Author: Edwin Diday

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-03-14


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The subject of this book is the analysis and processing of structural or quantitative data with emphasis on classification methods, new algorithms as well as applications in various fields related to data analysis and classification. The book presents the state of the art in world-wide research and application of methods from the fields indicated above and consists of survey papers as well as research papers.

Bioinformatic and Statistical Analysis of Microbiome Data


Bioinformatic and Statistical Analysis of Microbiome Data

Author: Yinglin Xia

language: en

Publisher: Springer Nature

Release Date: 2023-06-16


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This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.