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knnalgorithm
- k最近邻算法,给出训练样本和测试样本,通过样本间欧氏距离或是绝对距离来寻找测试样本的k个近邻,并根据k个实例里多数所属的类将该测试样本归为该类。-k-nearest neighbor algorithm, given the training and testing samples by the Euclidean distance between the samples or the absolute distance to find the k nearest neighbors of th
static_K_ga01
- MATLAB代码,采用封装法利用K近邻和遗传算法的结合对数据进行分类-MATLAB code using encapsulation method using a K-nearest neighbor and genetic algorithm combined with data classification
ISOMAP-Algorithm
- ISOMAP算法,其中做了部分修改。算法采用K近邻图计算测地距离的方法,最后进行低维嵌入-ISOMAP algorithm, which made some modification.Algorithm of geodesic distance is obtained by using the K neighbor graph method, finally to low dimensional embedding
NN1akNN
- 实现机器学习中的最近邻算法——1-NN和k--Realization of machine learning algorithms 1-NN nearest neighbor and k-NN
KNNre
- JAVA写的K最近邻算法的基本实现,可以调试通过。-KNN algorithm using JAVA.
knn
- k近邻法的线性扫描算法的python详细代码,并附有详细注释-k nearest neighbor linear scanning algorithm python code in detail, along with detailed notes
LMNN
- 大间隔最近邻居(Large margin nearest neighbor (LMNN))分类算法是统计学的一种机器学习算法。该算法是在k近邻分类其中学习一种欧式距离度量函数。-Spaced nearest neighbor (Large margin nearest neighbor (LMNN)) classification algorithm is a statistical machine learning algorithms. The algorithm is learning a
knn
- K近邻分类算法实现 in Python -KNN Classfier in Python
Eigenface
- 人脸识别Eigenface算法的完整实现,主要基于PCA(主成成分分析)和kNN(k近邻)分类器实现,测试模板库基于ORL和yale,可以达到98 的识别率。-Eigenface complete recognition algorithm, mainly based on PCA (Principal Component Analysis into) and kNN (k nearest neighbor) classifier implementation, test template li
K-Nearest-Neighbor
- 数据挖掘中经典的KNN(K-最近邻)算法,导入即可运行-Data Mining the classical KNN (K- nearest neighbor) algorithm, you can import operation
WekaKnnInJAVA-master
- weka knn java算法实例,K-最近邻算法分析测试-weka knn java api
kUntitled1
- k-最近邻算法分类器,程序清晰易读,有注解,方便最算法的进一步掌握-K- nearest neighbor classifier algorithm, procedures Notes clear and easy to read, easy to grasp the algorithm.
KNN
- 自己实现机器学习十大算法中的k最近邻算法,经过测试,算法运行很好-Own machine learning algorithm to achieve the k nearest neighbor algorithm, tested, the algorithm runs very well
MLkNN
- K近邻分类算法是一种简单有效的方法,基于此提出了多标签K近邻分类算法用于多标签分类研究(multi-label classification algorithm)
MLkNN
- ML-KNN,这是来自传统的K-近邻(KNN)算法。详细地,为每一个看不见的实例中,首先确定了训练集中的k近邻。之后,基于从标签集获得的统计信息。这些相邻的实例,即属于每个可能类的相邻实例的数量,最大后验(MAP)原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究,即酵母基因功能分析、自然场景分类和网页自动分类,表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
knn
- 运用java 语言简单实现knn算法,邻近算法,或者说K最近邻(kNN,k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一(Using java language simple implementation of KNN algorithm, neighbor algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simples
2012.李航.统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法,特别是监督学习方法,包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外,每章介绍一种方法。叙述从具体问题或实例入手,由浅入深,阐明思路,给出必要的数学推导,便于读者掌握统计学习方法的实质,学会运用。为满足读者进一步学习的需要,书中还介绍了一些相关研究,给出了少量习题,列出了主要参考文
knn
- k最近邻算法:分类和回归。通过对训练集分类训练模型,验证集用于验证数据的准确性。(K nearest neighbor algorithm: classification and regression. Through the training set classification training model, the verification set is used to verify the accuracy of the data.)
手写体字符识别
- 简单的手写体字符识别,利用了k近邻和支持向量机算法(Simple handwritten character recognition, using the k nearest neighbor and support vector machine algorithm)
李航_统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法,特别是监督学习方法,包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(The statistical learning method is an important subject in the field of computer and its application.)