It takes the average reader 4 hours and 38 minutes to read Model-Based Clustering, Classification, and Density Estimation Using mclust in R by Luca Scrucca
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Model-Based Clustering, Classification, and Denisty Estimation Using mclust in R 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 an appropriate clustering or classification method to be understood within the context of statistical modeling. The mclust package for the statistical environment R is a widely adopted platform implementing these model-based strategies. The package includes both summary and...
Model-Based Clustering, Classification, and Density Estimation Using mclust in R by Luca Scrucca is 269 pages long, and a total of 69,671 words.
This makes it 91% the length of the average book. It also has 85% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 20 minutes to read Model-Based Clustering, Classification, and Density Estimation Using mclust in R aloud.
Model-Based Clustering, Classification, and Density Estimation Using mclust in R is suitable for students ages 12 and up.
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