然后探讨了基于搜索编码的监督分类技术。
It then describes the supervised classification technique based on the search coding method.
常用的分类方法有监督分类和非监督分类。
The normal ways are Surpervised classification and Un-supervised classification.
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.
监督分类不仅效率高，而且能够保证一定的精度要求。
Supervised classification not only was efficient, but also could be ensure certain degree of accuracy.
又可以提高纯粹的监督分类或非监督分类过程的精度。
The hybrid classification can improve the efficiency of process on supervised classification or unsupervised classification.
实验结果表明，该算法能成功地解决很多非监督分类问题。
In the experiment aspects, the results shows that this algorithm can deal with the unsupervised learning problem successfully.
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.
实验数据分析证明了该算法在进行半监督分类时具有比较好的效果。
The analysis of experimental data has proven that this algorithm has better effect on semi-supervised classification.
针对几种典型的有监督及无监督分类算法，进行了深入的分析和比较。
Comprehensive analysis and comparisons are given for several typical algorithms in supervised and unsupervised classification.
确定研究区内不同地物采用监督分类和无监督分类时相应的参数和阈值。
Made sure of the parameters and thresholds of different objects with supervised and unsupervised classification.
聚类分析是在无先验知识无指导下进行数据无监督分类的一种数据挖掘技术。
Clustering analysis is one of the basic methods of the data mining and knowledge finding and it is a non - surveillance data classification method.
一种高光谱遥感数据多类别监督分类方法，包含以下步骤：（1）读入 高光谱数据；
The invention relates to a supervised classification method of multi-class hyperspectrum remotely sensed data, which comprises the following steps: (1), reading the hyperspectrum data;
由于黄土高原地区地形复杂，在坡耕地遥感调查中单纯采用监督分类法很难获得理想的精度。
The classification accuracy is unsatisfactory in the complicated terrain area of the Loess Plateau when the single supervised classification is used in the remote sensing investigation of slope field.
与传统高光谱无监督分类算法比较，表明该算法的适用性，并具有更高的分类精度和准确性。
Moreover, compared with the conventional unsupervised classification algorithm of hyperspectral data, the proposed algorithm is more applicable and can obtain the better precision and accuracy.
利用监督分类和非监督分类相结合的分层提取分类方法对南川市2000年遥感影像进行解译。
The image of Nanchuan in 2000 was interpreted using a multi-extracting method combining supervised classification with non-supervised classification.
通过比较分析，确定了利用阈值法分类时的最佳阈值，并且认为阈值法比监督分类法具有更好的分类精度。
According to comparison, the best threshold was confirmed, so as to the fact that the ratio techniques has a better accuracy than supervised method when doing rice mapping.
基于知识对监督分类的结果做后处理，准确地提取了居民地和防护林草类型，并对分类结果进行了精度评估。
After supervised classification we extracted residential area and the grass of shelter belt based on knowledge discovery, finally we got the accuracy assessment reports.
而对于IKONOS影像梯田提取，两种分类结果精度相差12%以上，监督分类结果明显优于非监督分类结果。
While for terrace extraction, supervised classification has better result than unsupervised classification. The difference of total accuracy between two methods based on IKONOS image is more than 12%.
应用陆地卫星TM资料和遥感图像处理ENVI3.2软件，以监督分类波谱角法、人机交互等方法提取冬小麦面积及分布信息。
Using TM data and image process software ENVI3.2, the winter wheat area and distribution information were obtained by methods of Spectral Angle Mapper and man machine interactive interpretation etc.
与非监督分类及监督分类相比，监督分类和非监督分类结合分层提取的总体分类精度分别从25.3%、71.6%提高到85.5%。
Compared with the unsupervised classification and the supervised classification, the precision of multiband combination information extraction is improved to 85.5% from 25.3%, 71.6%, respectively.
本文用卫星遥感的方法，着重就比值处理、非监督分类和监督分类等计算机图象处理方法对江苏沿海潮间带土壤类型识别的效果进行试验和比较。
They vary with vegetation and water conditions, which results in unequal multispectral characters Therefore, the types of soil can be recognized by computer image processing using LANDSAT CCT.
这将在后面成为无监督学习上下文分类的一个例子。
This would be an example of unsupervised learning in a classification context.
监督学习是最常见的分类问题，因为目标往往是让计算机去学习我们已经创建好的分类系统。
Supervised learning is fairly common in classification problems because the goal is often to get the computer to learn a classification system that we have created.
对无监督学习来说这个目标很难实现，因为缺乏事先确定的分类。
In unsupervised learning, the goal is harder because there are no pre-determined categorizations.
妥善保管各种合同和协议文件，监督必要的会计程序和会计分类账及总账的记录。
To safeguard all contracts and agreements and to supervise the necessary accounting procedures and the preparation of accounting ledgers and summaries.
监督式分类器使用标签训练语料库来构建模型，预测基于特定要素输入的所输入的标签。
Supervised classifiers use labeled training corpora to build models that predict the label of an input based on specific features of that input.
监督式分类器使用标签训练语料库来构建模型，预测基于特定要素输入的所输入的标签。
Supervised classifiers use labeled training corpora to build models that predict the label of an input based on specific features of that input.
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