首先，运用K-均值聚类方法提取出细胞核，并且采用多域值分割演算法去除细胞图像中的背景区域。
Firstly, nucleus regions of leukocytes in images are automatically segmented by K-mean clustering method. Then single leukocyte region is detected by utilizing thresholding algorithm segmentation.
我们如何将这一类的先备知识加到分群演算法里？
How can we incorporate such prior knowledge into a clustering algorithm?
接下来，我们将处理这些在实作研究中分门别类的各式不同演算法及问题。
Later in the course we will deal with an assortment of different algorithms and some problems in operations research.
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