/21FallVE414Project-Gaussian-Mixture-Model

Position prediction of invisible tree using EM algorithm of GMM. We used Python's Matplotlib data visualization and preprocessed to determine the fruit distribution. BIC and AIC indexes were used to determine the number of cluster categories, and Gaussian mixture model was used to cluster according to the fruit data to predict the coordinates of the number. We use poission distribution to predict the distribution of the whole forest.

Primary LanguageJupyter Notebook

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