搜索资源列表
datamingcollection
- 一个数据挖掘的算法合集，里面有knn分类bayes分类keams分类等算法。对于数据挖掘初学者很有帮助。-A collection of data mining algorithms, which has knn classification bayes classification keams classification algorithm. Useful for data mining beginners.
Chinese-text-categorization-Study
- 本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。 应用ICTCLAS 对中文文档进行分词，在大维数，多数据情况下应用TFIDF 进行 特征选择，并同时利用它实现了对特征项进行加权处理，使文本库中的每个文本 具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行 训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text ca
svmcls
- 基于KNN+SVM算法的文本分类器，附带权威的分词词库及算法，有界面，程序可正常使用-KNN+ SVM-based text classification algorithm, with the authority of the sub-word thesaurus and algorithm, a interface, the program can be used normally
C
- K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。-K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.
knnclassifier
- knn是一种分类算法，它是基于matlab的一种模式识别的经典算法，一般适用于样本个数较小的样本分类。-KNN, it is classification algorithm based on matlab a pattern recognition of the classic algorithm, generally applied in sample number of smaller sample classification.
Abnormal-detect
- 使用Tcm-Knn算法完成数据包的异常检测，，代码已经经过测试，可以直接运行-Algorithm using Tcm-Knn complete packet anomaly detection, code has been tested, can be directly run
knn_classify
- knn分类算法 遥感图象分类 knn分类算法 遥感图象分类 -knn classify k-nearest neighbor algorithm In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space
Improved_KNN
- 该算法在原有KNN的基础上实现自动选择最佳K值，并且在不同数据集中具有通用性，同时附有评价算法。-this algorithm can choose the best value of K based the original KNN algrithm,and it can be used universally in different dataset,it also include a measure algrithm to estimate the result.
4
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K neighbor algorithm (KNN) of matlab source code, and the program is clear and easy to read
8
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K neighbor algorithm (KNN) of matlab source code, and the program is clear and easy to read
20257147knn
- knn最近邻算法在给定新文本后，考虑在训练文本集中与该新文本距离最近（最相似）的 K 篇文本，根据这 K 篇文本所属的类别判定新文本所属的类别，具体的算法步骤如下： 一、:根据特征项集合重新描述训练文本向量 二、:在新文本到达后，根据特征词分词新文本，确定新文本的向量表示 三、:在训练文本集中选出与新文本最相似的 K 个文本-knn nearest neighbor algorithm in the given text, to consider in the train
dataming
- 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料，以找出不同的客户或市场划分，分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006:
KNN_Search
- 该程序实现了KNN搜索算法，可以实现输入不同的维数和样本点个数来进行搜索。-The program implements the KNN search algorithm, can enter a different dimension and the number of sample points to be searched.
DM_YeDan
- KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下，用 C++语言在基于KNN及K-means算法下，实现了对Iris数据集的分类与聚类。-KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 en
classfication
- 基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-The newsgroup text classification algorithm based on Bayesian and KNN, the entire program can be directly imported
mca
- Modified Chang Algorithm for Multiple prototype creation (kNN)
KDTree2KNN
- 基于kdtree的KNN分类算法，利用kdtree在检索方面的优势有效地提高knn分类的性能，减小了分类的时间复杂度-Kdtree of KNN-based classification algorithm, using kdtree retrieval effectively improve knn classification performance, reducing the time complexity of the classification
knn_K-nearest
- 是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-k-Nearest Neighbor algorithm， It is a very useful matlab code.
Nearest_Neighbor
- KNN k s nearest neighbor algorithm-KNN k' s nearest neighbor algorithm
knnclassifier
- 人工智能的knn算法，用matlab实现的。-Knn artificial intelligence algorithm, using matlab to achieve.