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。
Experimental result demonstrates that compared with previously proposed semi-supervised clustering algorithm this method produces better clusters.
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。
Semi-supervised clustering algorithms use a small amount of supervision information in the form of labeled data or pairwise constraints to improve clustering performance.
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。
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.
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。
Compared to unsupervised clustering, semi-supervised clustering utilizes a small amount of given prior knowledge to guide the clustering process.
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。
The pairwise constraints are the most common prior knowledge, and many semi-supervised clustering algorithms are based on the type of constraints.
提出了一种用无监督聚类算法指导文本分类的方法，以解决没有训练集的文本分类问题。
We propose a method, use Unsupervised text Clustering algorithms (UTC) to guid text classification, so as to deal with text classification without training set.
IRIS数据检验表明，未确知均值聚类算法误判样本数少、收敛速度快、鲁棒性好，是一种实用、有效的无监督聚类算法。
The data of IRIS indicates that the algorithm possesses the better convergence, better robustness and it is an unsupervised clustering algorithm.
这种无监督的聚类方法能够自动搜索最佳的网络输出节点数而获取图像中的目标数，从而完成对图像的自动分割。
This kind of unsupervised clustering method can search for the optimal number of output nodes automatically to get the number of textures in the 'image, and finish the automatic segmentation.
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。
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.
算法用于图像分割是一种非监督模糊聚类后再标定的过程。
It is a procedure of the label following an unsupervised fuzzy clustering that fuzzy c-means (FCM) algorithm is applied to image segmentation.
对于视频来说，由于存在较大的场景差异，因此采用无监督的场景聚类，达到通用性的目的。
Because scenes have much difference in appearance, we adopt unsupervised scene clustering for its universality, which groups video shots with similar visual content into same cluster.
最后通过非监督的K均值方法完成动作电位聚类。
After that, unsupervised K-means clustering was calculated to complete spike sorting.
提出了一种基于万有引力的非监督自组织聚类算法。
A unsupervised classification method was proposed based on universal gravitation.
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。
Now I have done some basic reading on supervised and unsupervised learning algorithms such as decision trees, clustering, neural networks... etc.
在分析了多种颜色聚类方法的基础上，提出了2种无监督的二维色度平面颜色聚类方法：基于密度的三角化方法和遗传算法优化方法，并通过实验对2种方法进行了比对分析。
After analysing manifold color clustering methods, we present two unsupervised methods based on 2-d chroma plane, i. e, the density-based triangulation method and the GA-based optimization method.
因为在对图像进行聚类分析时，通常缺少可资利用的先验知识，所以需要采用无监督的聚类算法。
For the lack of valuable prior knowledge in the image retrieval process, unsupervised clustering algorithms should be applied.
聚类算法是一种无监督分类方法，能够很好地用于入侵检测。
Clustering algorithm is an unsupervised machine learning method well applied in intrusion detection.
聚类问题作为一种无监督的学习，能根据数据间的相似程度自动地进行分类。
As an unsupervised learning technique, dustering is a division of data into groups of similar objects.
模糊聚类是非监督分类中的一类重要方法。
Fuzzy clustering is an important method in unsupervised classification.
聚类是在非监督条件下对数据进行分类，其分类依据主要有数据之间的相似性和数据集合的分布密度函数。
Clustering is an unsupervised classification method. It USES either the data similarity or PDF of data set for classification.
聚类是在非监督条件下对数据进行分类，其分类依据主要有数据之间的相似性和数据集合的分布密度函数。
Clustering is an unsupervised classification method. It USES either the data similarity or PDF of data set for classification.
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