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- Data classification algorithm based on two-step matrix projection 基于两步矩阵投影的数据分类算法
- data classification algorithm 数据分类算法
- A novel data hiding algorithm for halftone images was proposed.The digital watermarking was embedded by DCT data classification method. 介绍了一种新颖的半色调图像中数据隐藏的算法，该算法利用DCT域数据分类法进行数字水印信息的嵌入。
- SLIQ algorithm is a fast and scalable classification algorithm for data mining, which is brought forward by IBM Almaden Research Center in 1996. The typical application of SLIQ lies in CRM, credit ranking, etc in large business. SLIQ串行算法是由IBM Almaden 研究中心提出的一种高速可伸缩的分类算法，广泛应用于大型商业的CRM、信用等级分级等领域。
- To overcome the shortcoming of single Kohonen network and BP network for data mining,a method for data classification based on combined neural network is put forward. The basic idea and algorithm description of this method are given. 为了克服单一Kohonen网络和BP网络用于数据挖掘的缺点;提出了一种基于Kohonen和BP组合神经网络的数据分类方法;并给出了该分类方法的基本思想和算法描述.
- This paper proposes a support vector machine based on kernel positivistic c-means algorithm (KPCM-SVM) to improve the noises and outliers sensitivity problem of SVM for data classification. 摘要提出一种基于核可能性c-均值算法的支持向量机分类算法，该算法改进了SVM训练过程中噪声和孤立点的敏感问题。
- Compared to the well-known associative classification algorithm of CBA, the proposed approach has the advantage of fast speed and high accuracy. 与同类关联分类方法（如CBA）比较，本文提出的方法具有学习速度快、分类准确度高的优点。
- Based on above reasons, we propose a Chinese Webpages classification algorithm based on Projection Pursuit. 基于上述原因，我们提出了基于投影寻踪的中文网页分类算法。
- This talk introduces a new HOLTER system based on intelligent module classification algorithm. 该报告主要介绍一种基于智能模板分类算法的新型HOLTER系统。
- Spatial data mining is a promising field, where the research work on spatial data classification is still in its initial stage. 空间数据采掘是一个很有发展前景的领域 ;其中空间数据分类的研究尚处在起步阶段 .
- We present a novel segmentation randomized tree based classification algorithm in this paper. 本文提出一种基于区域分割的随机树分类算法。
- The authors proposed an effective feature selection method for imbalanced data classification, especially if the data are also high dimensional. 因此作者提出有效的特徵挑選方法來處理不平均的高維度資料分類問題。
- At last, some principled problems about the practical application of the methods to remote sensing data classification are discussed. 最后讨论了有关上述方法在遥感数据分类处理中实际应用的一些原则性问题。
- The Microsoft Naive Bayes algorithm is a classification algorithm that is quick to build and that works well for predictive modeling. Microsoft Naive Bayes算法是一种可快速构建并适合进行预测性建模的分类算法。
- Our methods of testing the geophysical test data classification and subdomain partition prove effetive in the testing of GRISYS. 根据GRISYS系统中应用程序的特点,给出了地球物理测试数据的分类原则和测试子数据集划分的一般方法。
- A rotation invariant texture classification algorithm based on log-polar and Dual-Tree Complex Wavelet Transform(DT-CWT) is proposed. 提出了一种基于对数-极坐标变换(Log-Polar)和双树复数小波变换(DT-CWT)的旋转不变纹理分类算法。
- Pochet, N., et al. "Systematic benchmarking of microarray data classification: assessing the role of nonlinearity and dimensionality reduction." Bioinformatics, 2004. 基因芯片数据分类的系统基准：评估非线性和维度的缩减〉。《生物信息学》,2004年。
- A texture classification algorithm based on Dual-tree Complex Wavelet Transform (DT-CWT) and Support Vector Machines (SVM) is proposed. 提出了一种基于双树复数小波变换(DT-CWT)和支持向量机(SVM)的纹理分类算法。
- This paper puts forward the classification algorithm TFIDFICF by introducing the factor of class frequency into the algorithm TFIDF. 在TFIDF算法中引入类频率因子，给出TFIDFICF分类算法，实验证明类别信息的加入可以有效地改善分类性能，提高分类精度。
- Theoretical analysis and practical signal processing justify the robusticity and the efficiency of the new classification algorithm. 理论分析和实测信号处理证明了本文提出的算法的可行性。
