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10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
kthshortest
- 出了一个 求解第 k短路径的算法 ,和其它 求解第 k短路径 的 算法相比,本算法具有较好的时间和空间复杂度。经性能分析 可知 ,本算法的时间复杂度和 Dijkstra算法相 当.空间复杂度 与顶点数具有线性关系。 -Solving the first k out of a short path algorithm, and other short-path k-solving algorithm, this algorithm has better time and space c
10-da--suanfa
- 讲述了最著名的十大数据挖掘算法,经典资料,国际权威的学术组织the IEEE International Conference on Data Mining (ICDM) 2006年12月评选出了数据挖掘领域的十大经典算法:C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.-About the top ten most famous data mining algorithms, the
04370261
- MINING TOP-RANK-K FREQUENT PATTERNS
3Answering-Top-k-Queries-Using-Views
- 数据库top-k查询排序文献,发表在vldb2006上,利用视图方法实现top-k查询,具有高效准确特点-Top-k query the to sort literature, published in the vldb2006, use view methods to achieve top-k queries, is an efficient and accurate Features
PCA_ORL
- 人脸识别技术作为生物体特征识别技术的重要组成部分,在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法(PCA)在人脸识别中的应用,在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真,并对样本图像进行了重构。本实验在ORL人脸库的基础上,选用每人前5张图片,共计40人200幅样本图像,通过快速PCA算法将10304维的样本特征向量降至20维,并实现了基于主分量的人脸重建,验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Fac
Top-k-Local-Alignment
- 本文研究了基于外存后缀树的top- 局部比对算法,它从根本上消除了内存空间对算法的束缚-In this paper, we study the top-local matching algorithm based on the external suffix tree, which fundamentally eliminates the memory space constraints on the algorithm
Crowdsourcing-for-Top-K-Query-Processing
- Crowdsourcing for Top-K Query Processing over Uncertain Data