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胡煜 《广东技术师范学院学报》2010,(9)
所统计分析的数据集是前列腺癌基因数据集.采用分片逆回归方法和线性判别分析(LDA),二次判别分析(QDA).对基因芯片(微阵列)数据进行分析.用SIR降维,用LDA和QDA分类.讨论分片逆回归方法和二种方法对基因样本进行分类的效果. 相似文献
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Effective and robust recognition and tracking of objects are the key problems in visual surveillance systems. Most existing object recognition methods were designed with particular objects in mind. This study presents a general moving objects recognition method using global features of targets. Targets are extracted with an adaptive Gaussian mixture model and their silhouette images are captured and unified. A new objects silhouette database is built to provide abundant samples to train the subspace feature. This database is more convincing than the previous ones. A more effective dimension reduction method based on graph embedding is used to obtain the projection eigenvector. In our experiments, we show the effective performance of our method in addressing the moving objects recognition problem and its superiority compared with the previous methods. 相似文献
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This paper attempts to build a classification model according to the research products created by those institutes and hence to design specific evaluation processes. Several scientific input/output indicators belonging to 109 research institutes from the Spanish National Research Council (CSIC) were selected. A multidimensional approach was proposed to resume these indicators in various components. A clustering analysis was used to classify the institutes according to their scores with those components (principal component analysis). Moreover, the validity of the a priori classification was tested and the most discriminant variables were detected (linear discriminant analysis). Results show that there are three types of institutes according to their research outputs: Humanistic, Scientific and Technological. It is argue that these differences oblige to design more precise assessment exercises which focus on the particular results of each type of institute. We conclude that this method permits to build more precise research assessment exercises which consider the varied nature of the scientific activity. 相似文献
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The Condorcet fusion is a distinctive fusion method and was found useful in information retrieval. Two basic requirements for the Condorcet fusion to improve retrieval effectiveness are: (1) all component systems involved should be more or less equally effective; and (2) each information retrieval system should be developed independently and thus each component result is more or less equally different from the others. These two requirements may not be satisfied in many cases, then weighted Condorcet becomes a good option. However, how to assign weights for the weighted Condorcet has not been investigated. 相似文献
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本文首先讨论了教育实习成绩评定中存在的一些问题 ,然后应用多元统计中的判别分析与最优分割方法 ,结合实例给出了进行优化的方法与途径。该方法克服了人为主观因素及指标间相关性的影响 ,因而更为客观准确。 相似文献
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A variety of data was collected about students in the liberal arts college of a major metropolitan university. Random samples of 120 students were selected from each of two groups: stayers and leavers. The data include only those variables that would be known to administrators at the time an admissions decision is to be made. These data were then subjected to a stepwise linear discriminant analysis. Significant results are found for discriminating between the two groups, and nine variables are found to contribute to the discrimination. 相似文献