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上海财经大学信息管理与工程学院数据挖掘课件 Cluster Analysis。
GEOLOGICAL MAPPING BY COMBINING SPECTRAL UNMIXING AND CLUSTER ANALYSIS FOR HYPERSPECTRAL DATA
Geology Mineral Unmixing Cluster Analysis Hyperspectral Cuprite
2016/11/30
Spectral unmixing of hyperspectral data often fails to select some minerals and rocks having flat spectra but no diagnostic absorption features as endmembers, even if they are actually important endme...
A FAST METHOD FOR OBJECTS DETECTION AND RECOGNITION ON HIGH RESOLUTION IMAGERY BASED ON GEOSTATISTICAL AND LOCAL CLUSTER ANALYSIS
Object Detection Recognition Spatial Analysis LISA Spatial Auto-Correlation Kriging Airborne remote sensing
2015/12/31
This paper describes a new methodology to detect and recognize Object on high resolution multi-spectral images, which involves successively: (1) Resampling the image according to the size of the objec...
Derivation of Roof Types by Cluster Analysis in Parameter Spaces of Airborne Laser Scanner Point Clouds
Airborne laserscanning clustering building reconstruction
2015/5/26
Derivation of Roof Types by Cluster Analysis in Parameter Spaces of Airborne Laser Scanner Point Clouds.
Assessment of Water Quality of Euphrates River Using Cluster Analysis
Cluster Analysis Surface Water Euphrates River Iraq
2013/3/12
Multivariate statistical method including cluster analysis (CA) was used to assess temporal and spatial variations in the water quality of Euphrates River, Iraq, for a period 2008-2009 using 16 parame...
A History of Cluster Analysis Using the Classification Society's Bibliography Over Four Decades
A History of Cluster Analysis the Classification Societies Bibliography Over Four Decades
2012/11/23
The Classification Literature Automated Search Service, an annual bibliography based on citation of one or more of a set of around 80 book or journal publications, ran from 1972 to 2012. We analyze he...
基于颜色分形的不同产地烟叶聚类分析（Hierarchical Cluster Analysis of Tobacco Leaves from Different Areas Based on Fractal Color）
烟叶 系统聚类分析 颜色
2010/12/29
对较高精度的烟叶数字图像进行背景去除和分割预处理，计算烟叶颜色各分量（红色、绿色、蓝色、亮度）的计盒维数，绘制各颜色分量的计盒维数变化曲线，进行烟叶颜色系统聚类分析。结果发现不同产地烟叶的颜色各分量计盒维数变化曲线存在较明显差异；采用颜色分形维数作为聚类参数得到了最好的分类结果。这表明颜色分形维数可以作为按颜色分类的特征指标，能更准确地描述图像颜色的分形分布特征。
两阶段聚类分析在烤烟外观质量评价中的应用（Application of Two-step Cluster Analysis for Appearance Quality Evaluation of Flue-cured Tobacco）
烤烟 外观质量 两阶段聚类分析
2009/8/11
应用两阶段聚类法对云南省大理州14个主栽烤烟品种C3F和C3L 2个等级的中部烟叶外观质量进行聚类分析，并应用多元方差分析对聚类效果进行了检验。结果表明，产地和品种对烤烟外观质量的影响较小，并将100 个烤烟样品外观质量分为3 个类型；明确了各类型烟叶外观质量的重要性状、变异特点和类型间的分类特性；其聚类分析结果与烤烟外观质量的实际表现相吻合，因而两阶段聚类分类结果客观、合理、准确、可靠。