• "High dimensionality and small size samples" is widely encountered in many real world machine learning applications.

    维度样本”问题模式识别应用中的主要障碍之一。

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  • Power system stability analysis is extremely complex due to its multi time scale nature, high dimensionality and non linearity.

    电力系统一个时间尺度的大规模非线性系统,稳定性分析非常复杂

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  • Power system stability analysis is extremely complex due to its multi-time scale nature, high dimensionality and non-linearity.

    由于电力系统一个多时间尺度的阶非线性系统,稳定性分析就变得异常复杂

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  • This paper introduces a fast algorithm to cluster large binary data sets where data points have high dimensionality and most of their coordinates are zero.

    介绍一种聚类大型二元数据集合快速算法,在该数据集合中数据高维的,并且大多数的坐标值为零。

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  • Although numerical simulation method has wide applicability, its efficiency is low, especially for high dimensionality and small failure probability problems.

    尽管数字模拟法适用范围广,但方法的效率低,尤其是针对维和失效概率问题。

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  • Under the condition of high dimensionality, it converges faster than the common simplex method, while its calculating work and storage space required are reduced greatly.

    收敛速度高维情况下优于普通单纯形同时计算量存贮量均大大减少

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  • With the growth of data in volume and dimensionality, it has become a very challenging problem to build a high-efficient classifier for large databases.

    随着数据数据数的增加,建立高效的、适用于大型数据集的分类法成为数据挖掘的一个挑战性问题

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  • But the dimensionality of the original face image is too high to use LDA method directly.

    人脸原始特征空间维数很高,无法直接利用LDA方法提取分类特征。

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  • The sparsity and the problem of the curse of dimensionality of high-dimensional data, make the most of traditional clustering algorithms lose their action in high-dimensional space.

    高维数据稀疏性和灾”问题使得多数传统算法失去作用,因此研究高维数据集的聚类算法己成为当前的一个热点。

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  • Part 2 is in the Projection Pursuit ideology high-dimensional data principal component analysis dimensionality reduction theoretical analysis and practical application;

    第2部分进行的投影寻踪思想下对高维数据成分分析维的理论分析实践应用

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  • The Locaally linear Embedding (LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.

    局部线性嵌入(LLE)算法有效非线性方法,时间复杂度低并具有强的流形表达能力。

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  • Genetic algorithms are good candidates for attacking the challenge since GAs are very useful for extracting patterns in high-dimensionality problems where heuristic knowledge is sparse or incomplete.

    由于缺乏启发性的知识的情况下,遗传算法对于高维的数据的特征提取非常有效,所以遗传算法是基因数据研究中非常重要的算法。

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  • Most of the real-world data, such as images and videos, are always represented by tensor and high-dimensionality form, which make tensor data dimensionality reduction the hot issue in recent research.

    实际应用中的许多数据图像视频通常具有量性高维性特征,张量数据数约简便成为近期的研究热点

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  • Most of the real-world data, such as images and videos, are always represented by tensor and high-dimensionality form, which make tensor data dimensionality reduction the hot issue in recent research.

    实际应用中的许多数据图像视频通常具有量性高维性特征,张量数据数约简便成为近期的研究热点

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