搜索资源列表
classification
- 该程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例，压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
KNN11
- matlab有关K近邻分类算法，很不错，-matlab knn
Games
- Bayes分类器——算法设计 1． 使用决策树(Decision tree)分类算法、朴素贝叶斯（Naï ve Bayes）算法或者K-近邻（kNN）算法（三者任选其一）对给定的训练数据集构造分类器，并在测试数据集上进行分类预测。 2． 数据集描述： Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classi
基于弹性模板匹配的人脸表情识别程序
- 基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-Flexible template matching based on facial expression recognition procedures. First of all, the expression for the static image of the gray-sca
knnsearch
- 一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳-A small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm uses JIT acceleration cycle theory, than to solve a lot of data to quantif
KMM
- 针对传统快速k-近邻分类算法的缺陷,提出了一种基于近邻搜索的快速k-近邻分类算法———超球搜 索法。该方法通过对特征空间的预组织,使分类在以待分样本为中心的超球内进行,有效地缩小了搜索范围。 -Rapid response to traditional k-neighbors of the defect classification algorithm, a fast search based on neighbor k-neighbor classification algorithm
AI_Blood
- 本次大作业利用K‐近邻（K‐Nearest Neighbor）算法，为给定的训练数据集构造了分类器， 并在测试数据集上进行分类预测，同时计算了Accuracy、Precision、Recall和F‐measure，利用 10‐fold的实验方法进行交叉验证。-The big job to use K-neighbor (K-Nearest Neighbor) algorithm, for a given set of training data classifier is constru
ordinary_algorithm_for_pattern_recognition
- 使用C语言实现的一些简单模式识别聚类算法，用于简单的二维坐标系点的聚类。有最短距离算法、K均值算法、近邻算法、fcm算法、最大最小距离算法。-Using the C language implementation of some simple pattern recognition clustering algorithm for a simple two-dimensional coordinate system point of clustering. Has the shortest di
61
- 在分类算法研究onThe应用运行长度的车型分类研究中使用坡道SVM和K近邻-The Research of Vehicle Classification Using SVM and KNN in a ramp
KNN
- 自己编写的近邻法算法，包括k近邻法、两分剪辑和重复剪辑、压缩算法。在文档中给出了一个简单的算法原理说明，详细参考边肇的《模式识别》。注：里面的分类线绘制算法存在一些问题，仅供大家参考修改。-The nearest neighbor algorithm written by myself, including k nearest neighbor, the two sub-editing and re editing, compression algorithm. The document giv
kNN_pred
- 采用改进的K最近邻算法对混沌时间序列进行预测-The improved K-nearest neighbor algorithm to predict chaotic time series
461518386Yale_PCASVM
- 程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。-svm apply to fenlei
src.tar
- 期望最大化的算法代码，类似于k近邻，分为两个步骤：E步骤和M步骤。-Expectation maximization algorithm code, similar to the k nearest neighbor, is divided into two steps: E steps and M steps.
knn
- k近邻分类算法，VC++实现的，验证了正确性-k nearest neighbor classification algorithm, VC++ implementation to verify the correctness
knnmatlab
- 不同的K近邻分类算法，基于matlab开发，不错。-matlab knn classification
Kmeans_classfication
- 一个用K近邻实现分类的算法，k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Achieved with a K-nearest neighbor classification algorithms, k-nearest neighbor algorithm for pattern recognition is a relatively simple and classic classification algorithm
Tri-traing-by-myself
- 一个自己编写的Tri-training算法，利用支持向量机，K近邻，和朴素贝叶斯进行协同训练-A imagecut.rar Tri-training algorithm, using support vector machine, K neighbor, and simple bayesian for collaborative training
knn_recognition
- knn（k-近邻）用于模式识别，实验所需数据已给出，适用于初学者加深对knn算法的理解。-The knn（(k-Nearest Neighbor）classification algorithm is used for pattern recognition, the experimental data required has been given to deepen the understanding of the knn algorithm for beginners .
ren-gong-zhi-neng
- 人工智能里面的几个c程序，蚁群算法、k近邻、hebb学习、hopfield网络、后向传播网络等。-Artificial intelligence inside the c program, ant colony algorithm and k nearest neighbor, hebb study, the Hopfield network, back propagation network.
Algorithm-for-knn-of
- 提出了一种改进的散乱数据点k近邻搜索算法-An improved algorithm for searching points’k nearest neighbor is presented