Similarity Based Clustering
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Similarity Based Clustering
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Author : Thomas Villmann
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-02
Similarity Based Clustering written by Thomas Villmann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-02 with Computers categories.
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.
Similarity Based Clustering
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Author : M. Biehl Thomas Villmann (B. Hammer et al)
language : en
Publisher:
Release Date : 2009
Similarity Based Clustering written by M. Biehl Thomas Villmann (B. Hammer et al) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Similarity Based Clustering Algorithms For Gene Expression Profiles
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Author : Jens Ernst
language : en
Publisher:
Release Date : 2003
Similarity Based Clustering Algorithms For Gene Expression Profiles written by Jens Ernst and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Similarity Based Pattern Recognition
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Author : Marcello Pelillo
language : en
Publisher: Springer
Release Date : 2011-09-25
Similarity Based Pattern Recognition written by Marcello Pelillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-25 with Computers categories.
This book constitutes the proceedings of the First International Workshop on Similarity Based Pattern Recognition, SIMBAD 2011, held in Venice, Italy, in September 2011. The 16 full papers and 7 poster papers presented were carefully reviewed and selected from 35 submissions. The contributions are organized in topical sections on dissimilarity characterization and analysis; generative models of similarity data; graph-based and relational models; clustering and dissimilarity data; applications; spectral methods and embedding.
Assessment Of Similarity Based Cluster Validation Methods
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Author : Jill C. Willie
language : en
Publisher:
Release Date : 2014
Assessment Of Similarity Based Cluster Validation Methods written by Jill C. Willie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Data mining categories.
We employ a method of repeatedly sampling the available data, fitting a cluster algorithm, and observing the similarity of the resulting cluster schemes. We apply two clustering algorithms, k-means and hierarchical clustering. As a measure of how well we might expect the clusters to hold over new data we measure the similarity of the cluster results over random samples of the full dataset to each other. While in practice it is rare to have a known, ideal cluster structure, we have synthetic data. Therefore we also measure how accurately the resulting clusters represent a known ideal structure in the data to gain insight. We focus on discrete, binary data as one might encounter when modeling keywords from text. To measure cluster scheme similarity we employ the Rand Index, the Jaccard Index, and the Adjusted Rand Index. The computation of each of these indexes is described in detail. The applicability and interpretation of each index is discussed. Results are examined using both synthetic data and real data and compared to two internal measures of cluster quality, the Silhouette and pseud-F statistic. We manufacture various data with defined cluster structures, and compare the performance of each index on these data as well as on data without any cluster structure. We also apply this technique against text data to illustrate one potential application. We conclude that examining the patterns in similarity among repeated sample outcomes provides valuable and complementary information to that gained by examining cluster quality in terms of compactness and dispersion.
Unsupervised Classification
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Author : Sanghamitra Bandyopadhyay
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-13
Unsupervised Classification written by Sanghamitra Bandyopadhyay and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-13 with Computers categories.
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature. This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection. The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.
Computational Genomics With R
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Author : Altuna Akalin
language : en
Publisher: CRC Press
Release Date : 2020-12-16
Computational Genomics With R written by Altuna Akalin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Mathematics categories.
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
Ontology Based Similarity For Clustering In Text Space
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Author : Nasser Assem
language : en
Publisher:
Release Date : 2002
Ontology Based Similarity For Clustering In Text Space written by Nasser Assem and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Information retrieval categories.
Handbook Of Research On Investigations In Artificial Life Research And Development
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Author : Habib, Maki
language : en
Publisher: IGI Global
Release Date : 2018-06-08
Handbook Of Research On Investigations In Artificial Life Research And Development written by Habib, Maki and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-08 with Computers categories.
Research on artificial life is critical to solving various dynamic obstacles individuals face on a daily basis. From electric wheelchairs to navigation, artificial life can play a role in improving both the simple and complex aspects of civilian life. The Handbook of Research on Investigations in Artificial Life Research and Development is a vital scholarly reference source that examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Examining topics such as computational intelligence, multi-agent systems, and fuzzy logic, this publication is a valuable resource for academicians, scientists, researchers, and individuals interested in artificial intelligence developments.
Similarity Based Pattern Recognition
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Author : Aasa Feragen
language : en
Publisher: Springer
Release Date : 2015-10-04
Similarity Based Pattern Recognition written by Aasa Feragen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-04 with Computers categories.
This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2015, which was held in Copenahgen, Denmark, in October 2015. The 15 full and 8 short papers presented were carefully reviewed and selected from 30 submissions.The workshop focus on problems, techniques, applications, and perspectives: from supervisedto unsupervised learning, from generative to discriminative models, and fromtheoretical issues to empirical validations.