000 | 02635cam a22003858i 4500 | ||
---|---|---|---|
001 | 20904701 | ||
005 | 20221028230621.0 | ||
008 | 190326s2019 enk b 001 0 eng | ||
010 | _a 2019014257 | ||
020 | _a9781108494205 | ||
040 |
_aDLC _beng _erda _cDLC _dDLC |
||
042 | _apcc | ||
050 | 0 | 0 |
_aQA278.55 _b.M63 2019 |
082 | 0 | 0 |
_a519.53 BOU-C _223 |
100 | _aBouveyron, Charles | ||
245 | 0 | 0 |
_aModel-based clustering and classification for data science : _bwith applications in R / _cCharles Bouveyron, Gilles Celeux, T. Brendan Murphy, Adrian E. Raftery |
260 |
_aNew York _bCambridge University Press _c2019 |
||
263 | _a1904 | ||
300 | _a427 p. | ||
365 |
_aGBP _b59.99. |
||
490 | 0 | _aCambridge series in statistical and probabilistic mathematics | |
500 | _aCluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics. | ||
504 | _aIncludes bibliographical references and index. | ||
650 | 0 | _aCluster analysis. | |
650 | 0 | _aMathematical statistics. | |
650 | 0 |
_aStatistics _xClassification. |
|
650 | 0 | _aR (Computer program language) | |
700 | 1 |
_aBouveyron, Charles, _d1979- _eauthor. |
|
700 | 1 |
_aCeleux, Gilles, _eauthor. |
|
700 | 1 |
_aMurphy, T. Brendan, _d1972- _eauthor. |
|
700 | 1 |
_aRaftery, Adrian E., _eauthor. |
|
906 |
_a7 _brip _corignew _d1 _eecip _f20 _gy-gencatlg |
||
942 | _2ddc | ||
955 |
_brl03 2019-03-26 _irl03 2019-03-26 to Dewey _rrk09 2019-04-22 ECIP rush change request to CIP _arl03 2019-04-29, title change; publisher request |
||
999 |
_c83222 _d83222 |