本論文根據文獻[6]，以其FCM分群演算法的硬體架構為基礎，實作以非線性高斯核函式為核距離計算之KFCM分群演算法硬體電路，具有管線化以及可以同時計算所有分群之權重係數的能力。此架構改良了以往FCM分群演算法對於非線性資料分群效果不佳的問題，並且能夠應用在帶有雜訊的資料。本論文使用FPGA實現我們提出的硬體架構，並使用Iris data與人工雜訊圖片作為實驗測詴資料。實驗結果顯示本架構對於非線性資料分群效果確實較FCM佳，且架構簡單提供了日後高度的延伸性。

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