簡易貝氏分類器 (naïve Bayesian classifier) 是在先驗 (prior) 分配為狄氏分配 (Dirichlet distribution) 下進行分類的工作，為一運算簡單且有效的分類工具。然而狄氏分配具有任何兩變數間皆為負相關的特性，可是實務上變數間的關係可能為正相關的型態。目前的相關研究中，使用簡易貝氏分類器都在變數間為負相關的假設下進行學習，對於變數間若為正相關時，是否影響簡易貝氏分類器的正確率並未進行探討。本研究擬利用狄氏分配和廣義狄氏分配 (generalized Dirichlet distribution)，模擬出具有負相關和正相關特性的資料，來研究變數間的相關性是否會影響到簡易貝氏分類器的正確率，之後再利用真實的資料來進行分析研究。

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