
Model-based Clustering and Classification for Data Science (English, Charles Bouveyron | Gilles Celeux | T. Brendan Murphy)
by Charles Bouveyron | Gilles Celeux | T. Brendan Murphy
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Model-based Clustering and Classification for Data Science by Charles Bouveyron | Gilles Celeux | T. Brendan Murphy is listed under Data Science on BookBajar. Full details, specifications and reader reviews are below.
Book Details
About the Book
Cluster 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…
ISBN: 9781108494205
Reader's Guide
What This Book Covers
- ·The main subject matter of Model-based Clustering and Classification for Data Science
- ·Ideas and detail relevant to Data Science
- ·Context that helps make sense of the material as a whole
Best Suited For
Data analysts, ML engineers, and anyone working with data professionally.
Why It Stands Out
- ·Ships as a genuine physical copy, checked before dispatch
- ·Covered by BookBajar's 15-day return window
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