Model-based clustering, classification, and density estimation using mclust in R / Luca Scrucca, Chris Fraley, T. Brendan Murphy, and Adrian E. Raftery.
| Author/creator | Scrucca, Luca |
| Other author | Fraley, Chris. |
| Other author | Murphy, T. Brendan, 1972- |
| Other author | Raftery, Adrian E. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, 2023. |
| Description | pages cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Contents | Finite mixture models -- Model-based clustering -- Mixture-based classification -- Model-based density estimation -- Visualizing Gaussian mixture models -- Miscellanea. |
| Abstract | "Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification, and density estimation via mixture modeling. The model-based framework allows the problems of choosing or developing methods to be understood within the context of statistical modeling"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2022052288 |
| ISBN | 9781032234960 (hardback) |
| ISBN | 9781032234953 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |