knn

  • 网络近邻;Korea New Network;K近邻算法

knnknn

knn

近邻

用传统的最近邻(KNN)法找出最近邻点后,利用曲面平滑化原理,按照这些点的目标值分布情况进行模式识别的特征筛选,与基于分 …

Korea New Network

KNNKorea New Network)原名釜山放送(PuSan Broadcasting Corporation,PSB),2006年更名为KNN。是一家坐落在 …

K近邻算法

近邻算法,nearest... ... ) proximal point algorithm 邻近点算法 ) KNN K近邻算法 ) k-nearest neighbor algorithm K-近邻算法 ...

近邻法

...大熵(MaximumEntropy, ME),K 近邻法 (KNN), 朴素贝叶斯法(NB), 支持向量机法(SVM), 线性最小平分拟合法(LLSF), …

1
Classification is one of research directions of data mining. The KNN algorithm is clear and easy classification algorithm. 分类是数据挖掘任务之一,KNN算法是一种思路简单,易于实现的分类算法。
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KNN query is one of the most representative queries in multimedia database management system. KNN查询是多媒体数据库管理系统中最具代表性的查询方式之一。
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The traditional method about KNN is generally used Euclidean distance formula to measure the distance between the two samples. 传统的KNN算法一般采用欧式距离公式度量两样本间的距离。
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The support vector machine(SVM)combined with the k-nearest neighbor(KNN)algorithm is applied to solar proton event prediction. 应用支持向量机和k近邻相结合的方法,建立了太阳质子事件预报模型。
5
Taking full advantage of the noise model in the data is to reduce the bad effect of noise on KNN algorithm results. 充分利用数据中的噪声模型,以减小噪声对KNN算法结果的影响。
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And k-nearest neighbors algorithm (KNN) was further applied to classify the two types of accelerant. 在此基础上应用KNN方法对这两种汽油助燃剂进行分类。
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Here you see that the audit and autofs services have Knn entries in all runlevels and Snn entries for both in runlevels 3 and 5. 您可以看到在所有运行级别下audit和autofs服务有Knn个条目,运行级别3和5下有Snn个条目。
8
You can change the "KNN" (K-nearest neighbors) to be anything you want. 可以任意更改“KNN”(K-最近邻)。
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The report set off a study of KNN-based lead-free piezoelectric ceramic materials boom. 该报道掀起了研究KNN基无铅压电陶瓷材料的热潮。
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Improved KNN algorithm by using the combination technology, and applied it to the forecast of non-mining fracture of shaft-lining of mine. 利用组合技术对KNN算法进行改进,并将其应用于煤矿立井井筒非采动破裂的预测。
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In this thesis, we applied this method to perovskite-type KNN under different phase structure and doped system. 本论文中,把这种方法应用到了钙钛矿型KNN体系的不同相结构和掺杂体系。
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KNN algorithm is a common and effective text categorization algorithm. KNN算法是一种常用的效果较好的文本分类算法。
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AIRS results in the memory cell pool after it is trained and classifies the original antigens by KNN. AIRS通过训练产生记忆细胞池,利用最近邻原理对原始抗原分类。
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This method first calculated the degree matrix of membership using the fuzzy KNN method. 该方法首先通过基于模糊的KNN方法求出隶属度函数矩阵;
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In testing phase, the proposed method makes the most of the merits of KNNModel and ECOC through models combination. 在测试阶段,该算法通过模型融合进一步发挥KNN模型和纠错输出编码各自的优点。
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This paper presents a fast text classification algorithm based on KNN(K Nearest Neighbor). 提出了一种基于K近邻(KNN)原理的快速文本分类算法。
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Then, this thesis introduces some algorithms of text classification, including SVM, KNN, Naive Bayes and so on. 接着,详细介绍了几种文本分类算法,包括KNN和SVM、朴素贝叶斯等;
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Algorithm of two-phase approximate KNN outliers mining and its application 二阶段近似KNN离群挖掘算法与应用
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An Improved KNN Algorithm Applied Term Feature Combination Technology for Chinese Textual Classification 应用特征聚合进行中文文本分类的改进KNN算法
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An Improved KNN Algorithm Applied to Text Categorization 用于文本分类的改进KNN算法
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Vector-Combination-Applied KNN Method for Chinese Text Categorization 一种应用向量聚合技术的KNN中文文本分类方法
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A Novel Method for Predicting Pruning Threshold in KNN Query Processing 一种在KNN查询处理中预估剪枝阈值的方法
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Improvement of kNN Algorithm in Text Classification kNN算法在文本分类中的改进
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Application of Improved KNN Algorithm in Spam E-mail Filtering 改进KNN算法在垃圾邮件过滤中的应用
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Application of Iterative-KNN Based on KNN and Automatic Retrieval in Automatic Categorization 基于KNN与自动检索的迭代近邻法在自动分类中的应用
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Research of Chinese Web classification method based on improved kNN algorithm 基于改进的kNN算法的中文网页自动分类方法研究
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Intrusion Detection Technology Based on System Calls by Using KNN Algorithm 利用KNN算法实现基于系统调用的入侵检测技术
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Fault diagnosis of circuits with tolerance based on body and KNN method 基于集团法和自组织神经网络的容差电路故障诊断
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Text Categorization Method Based on Improved KNN 基于改进KNN的文本分类方法
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Fuzzy kNN Text Classifier Based on Gini Index 基于基尼的模糊kNN分类器