| 000 | 01866cam a22002538i 4500 | ||
|---|---|---|---|
| 001 | 22156462 | ||
| 005 | 20250610114751.0 | ||
| 008 | 210729s2021 nyu b 001 0 eng | ||
| 020 | _a9781108838658 | ||
| 040 |
_aCSL _cCSL |
||
| 041 |
_2eng _aeng |
||
| 084 |
_aB316 R2 NBHM _qCSL |
||
| 100 | 1 |
_aCarlsson, G. _eauthor. _9812381 |
|
| 245 | 1 | 0 | _aTopological data analysis with applications |
| 264 | 1 |
_aNew York : _bCambridge University Press, _c2021. |
|
| 300 |
_axi, 220p. _c23 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a"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 higherdimensional 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. The book covers all the main TDA techniques, including persistent homology, cohomology, and Mapper. The final section focuses on the diverse applications of TDA, examining a number of case studies drawn from monitoring the progression of infectious diseases to the study of motion capture data. Mathematicians moving into data science, as well as data scientists or computer scientists seeking to understand this new area, will appreciate this self-contained resource which explains the underlying technology and how it can be used"-- | ||
| 650 | 0 |
_aTopology. _9447898 |
|
| 650 | 0 | _aMathematical analysis. | |
| 650 | 7 |
_aMathematics- Topology _9812382 |
|
| 700 | 1 |
_aVejdemo-Johansson, Mikael, _eco- author. _9812383 |
|
| 942 |
_2CC _n0 _cTEXL _hB316 R2 NBHM |
||
| 999 |
_c1431556 _d1431556 |
||