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Model-Based Clustering, Classification, and Density Estimation Using McLust in R|Luca Scrucca

Model-Based Clustering, Classification, and Density Estimation Using McLust in R

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781032234953
  • ISBN-10: 1032234954
  • Publisher: CRC Press
  • Publish Date: April 2023
  • Dimensions: 9.21 x 6.14 x 0.57 inches
  • Shipping Weight: 0.84 pounds
  • Page Count: 242

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