1) Supervised PCA (S-PCA)
监督类PCA
2) supervised Classification
监督分类
1.
Studies on the purification of training samples in supervised classification by mode filtering;
利用众数滤波对监督分类训练样本纯化的研究
2.
Application of supervised classification on high spatial resolution satellite image.;
监督分类技术在高分辨率卫星影像中的应用
3.
The influence of JPEG2000 compression on of supervised classification accuracy sensing imagel;
JPEG 2000压缩对遥感影像监督分类精度的影响
3) Supervised clustering
监督聚类
1.
This paper presents a new supervised clustering method The algorithm is based on the information related t o both the global and local distributions of training samples,avoiding the expensive computation and local minimum of traditional neural networks Unknow n patterns can also be recognized The simulation results demonstrate the soun dness of this approac
本文提出了一种新的监督聚类学习方法。
4) on-supervised classification and Supervision classification
非监督分类和监督分类
5) unsupervised Classification
非监督分类
1.
Realization of unsupervised classification of digital map in mapinfo;
在MapInfo中实现数字化地图“非监督分类”
2.
The comparative research of initializing cluster centers for unsupervised classification
非监督分类中初始聚类中心法的比较研究
3.
5 to analyze the vegetation types in the marshland using the unsupervised classification.
方法 对以LandsatETM +图像组成的 3种特征图像进行非监督分类 ,并通过现场勘察和计算类别间分离度对分类结果进行评价。
6) semi-supervised clustering
半监督聚类
1.
Novel semi-supervised clustering:collaborating primary space with auxiliary space;
基于辅助空间与主空间合作的半监督聚类方法
2.
Research on the Present Situation of Semi-Supervised Clustering Algorithm
半监督聚类算法研究现状
3.
Some Developments on Semi-Supervised Clustering
半监督聚类的若干新进展
补充资料：PCA
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CAS号：71050-62-9
性质：
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CAS号：71050-62-9
性质：
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