Dodson, C.T.J., Sampson, W.W.: Dimensionality reduction for classification of stochastic fibre radiographs. In Proceedings of GSI2013—Geometric Science of Information, Paris, 28–30: Lecture Notes in Computer Science 8085. Springer-Verlag, Berlin (August 2013)...
机器学习:classification (分类),regression (回归), clustering (聚类), dimensionality reduction (降维) 聚类(clustering) 无监督学习的结果。聚类的结果将产生一组集合,集合中的对象与同集合中的对象彼此相似,与其他集合中的对象相异。 没有标准参考的学生给书本分的类别,表示自己认为这些书可能是同一类别的(具体什...
sklearn . decomposition import PCA import matplotlib . pyplot as plt import pandas as pd 结果 在这里,我们正在对一种广泛使用的高光谱图像执行降维 的结果如下所示: 根据其方差比,最初的结果是前10个主要成分的条形图: 因为,最初的两个主要组成部分具有很高的方差。 因此,我们将选择最初的两台PC。点...
In this paper we propose methods that employ a novel concept called Discernibility for achieving these two tasks separately, with the aim to solve classification problems. The experimental results verify our claim that the proposed methods are a viable alternative for dimensionality reduction, for ...
(DNN), especially convolutional neural networks (CNN). We provide a comparative analysis of various dimensionality reduction (DR) and classification techniques used for finding accuracies based on the datasets used. We also explore certain hyperspectral imaging applications along with some of the ...
> 高维数据分类中的特征降维研究 The Research on Dimensionality Reduction for High-Dimensional Data Classification 下载文档 收藏 打印 转格式 51阅读文档大小:562.33K4页118424上传于2015-03-22格式:PDF 高维数据降维方法的研究 热度: 高维数据特征降维
P and N. Jaisankar, "a survey of dimensionality reduction and classification methods" International Journal of Computer Science & Engineering Survey (IJCSES) Vol.3, No.3, pp 45-54, June 2012Nebu Vargese, a Survey of Dimensionality Reduction and Classification Methods, International Journal of ...
Dimensionality reduction technique is often used to reduce the large volume of data. Discriminative local metric learning approach is applied to reduce the ... R Venkatesan,S Prabu - 《International Journal of Intelligent Enterprise》 被引量: 0发表: 2022年 Global-local metric learning for person...
condition classificationdimensionality reductionself-organizing map (SOM)isometric feature mapping (isomap)In order to maintain the separability of different fault onsets, more characteristic parameters need to be used to establish the feature space with multiple possible faults. Usually, the dimensions o...
This work describes sequences of extended morphological transformations for filtering and classification of high-dimensional remotely sensed hyperspectral datasets. The proposed approaches are based on the generalization of concepts from mathematical morphology theory to multichannel imagery. A new vector organiz...