doc 关键词 ：微阵列；监督聚类；K-最近邻居法；支持向量机器 [gap=2151]Key words: Microarray; Supervised clustering; K-nearest-neighbor; Support vector machines ...
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semi-supervised clustering 半监督聚类
un supervised clustering algo rithm 说明基于支持向量机与无监督聚类相结合的中文网页分类器
gaussian mixture model-based supervised clustering 基于高斯混合模型的监督聚类
Gaussian-based Semi-supervised Clustering 基于高斯函数的半监
Semi-supervised fuzzy clustering algorithm 半监督模糊聚类算法
supervised fuzzy clustering 监督式模糊聚类
supervised ellipsoid clustering 监督椭球聚类学习
Compared to unsupervised clustering, semi-supervised clustering utilizes a small amount of given prior knowledge to guide the clustering process.
相比于无监督聚类分析，半监督聚类利用提供的少量监督信息协助指导聚类过程。
Experimental result demonstrates that compared with previously proposed semi-supervised clustering algorithm this method produces better clusters.
实验表明，该算法较之于已提出的半监督聚类算法，获得了更好的聚类性能。
The pairwise constraints are the most common prior knowledge, and many semi-supervised clustering algorithms are based on the type of constraints.
成对约束是先验知识中最普遍的，目前许多半监督聚类算法都基于此类约束形式。
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