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。
Semi-supervised clustering algorithms use a small amount of supervision information in the form of labeled data or pairwise constraints to improve clustering performance.
半监督聚类通过利用少量有标号样本或成对约束等监督信息来提高聚类性能。
Most of the existing semi-supervised clustering methods neglect the structural information of the data, while the few constraints available may degrade the performance of the algorithms.
现有的半监督聚类方法较少利用数据集空间结构信息，限制了聚类算法的性能。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
To evaluate the sewing ability of the fabric objectively before being garment, a prediction system based on supervised fuzzy clustering neural network (SFCNN) for garment seams is proposed.
为在面料成衣之前客观评价其缝纫性能，提出了一种基于监督模糊聚类客观评价方法。
Now I have done some basic reading on supervised and unsupervised learning algorithms such as decision trees, clustering, neural networks... etc.
现在我已经做了对的监督和无监督学习算法，如决策树，一些基本的阅读聚类，神经网络等。
This paper proposes a new method for meaning clustering called 'Supervised Probabilistic Latent Semantic Indexing' (SPLSI).
本文提出了一种语义聚类和扩展的新方法，称为有指导的统计隐含语义标引(SPLSI)算法。
This paper proposes a new method for meaning clustering called 'Supervised Probabilistic Latent Semantic Indexing' (SPLSI).
本文提出了一种语义聚类和扩展的新方法，称为有指导的统计隐含语义标引(SPLSI)算法。
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