Ditemukan 1 dokumen yang sesuai dengan query
Bouveyron, Charles
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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 in terms of statistical models, thus yielding principled estimation, testing and prediction ...
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Cambridge: Cambridge University Press, 2019
e20520634
eBooks Universitas Indonesia Library
