Gunnar Carlsson, Mikael Vejdemo-Johansson  | Cambridge University Press

98,050원  | 20211216  | 9781108838658

The continued and dramatic rise in the size of data sets has meant that new methods are required to model and analyze them. This timely account introduces topological data analysis (TDA), a method for modeling data by geometric objects, namely graphs and their higher-dimensional versions: simplicial complexes. The authors outline the necessary background material on topology and data philosophy for newcomers, while more complex concepts are highlighted for advanced learners.

 | John Wiley and Sons Ltd

0원  | 20220811  | 9781119794158

A compact and portable guide to James Joyce, including comprehensive plot summaries and character profiles from his essential works. Also includes two specially selected short stories and eight poems, reprinted in full.

Baas, Nils A., Carlsson, Gunnar E., Thaule, Marius, Szymik, Markus, Quick, Gereon  | Springer

369,980원  | 20200626  | 9783030434076

This book gathers the proceedings of the 2018 Abel Symposium, which was held in Geiranger, Norway, on June 4-8, 2018. This volume presents papers on various research directions, notably including applications in neuroscience, materials science, cancer biology, and immune response.

Raul (Columbia University, New York) Rabadan, Andrew J. (University of Texas, Austin) Blumberg  | Cambridge University Press

98,230원  | 20191231  | 9781107159549

Algebraic topology is particularly suited for the analysis of high dimensional large data sets, including those in modern biology. The book introduces geometric and topological methods, including statistics, as well as applications to biology - including cancer genetics, single cell studies and reconstructing evolutionary relationships from genomic data.

 | Springer

366,280원  | 20210427  | 9789811601736

Topics are ranging from general topology, algebraic topology, differential topology, fuzzy topology, topological dynamical systems, topological groups, linear dynamics, dynamics of operator network topology, iterated function systems and applications of topology.

Rana, Sanjay (EDT)  | Wiley

234,020원  | 20040528  | 9780470851517

Presents a research led, interdisciplinary approach to the creation, analysis and visualisation of topological data structures. This book discusses the relevant techniques and applications at a level and format that is suitable for the non computer scientist.

 | Springer Nature B.V.

73,980원  | 20221217  | 9783031232244

This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Inter

 | Springer Nature B.V.

73,980원  | 20230730  | 9783031334412

This book explores and demonstrates how geometric tools can be used in data analysis. Beginning with a systematic exposition of the mathematical prerequisites, covering topics ranging from category theory to algebraic topology, Riemannian geometry, operator theory and network analysis, it goes on to describe and analyze some of the most important machine learning techniques for dimension reduction, including the different types of manifold learning and kernel methods.

 | Springer Nature Switzerland AG

369,980원  | 20211212  | 9783030430382

This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work.

Pascucci, Valerio, Tricoche, Xavier, Hagen, Hans  | Springer Verlag

331,150원  | 20110114  | 9783642150135

Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. .