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NNAF
- 一个聚类算法,最近邻吸收高效聚类方法,可以实现图案的较好分辨- Gathers a kind of algorithm, the most close neighbor absorbs highly effective gathers a kind of method, may realize the design to distinguish well
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
KNSC
- 聚类算法，最近邻系统聚类。 聚类算法，最近邻系统聚类。-Clustering algorithm, the nearest neighbor system clustering
SNN_algorithm
- 实现SNN（共享最近邻聚类）算法，已测试，可用-Achieve SNN (Shared Nearest Neighbor Clustering) algorithm has been tested available
bangtai
- 用MATLAB实现动态聚类或迭代自组织数据分析，是信号处理的基础，包括最小二乘法、SVM、神经网络、1_k近邻法。- Using MATLAB dynamic clustering or iterative self-organizing da
类比法
- 型的类比学习方法是K-最近邻方法,它属于懒散学习法,相比决策树等急切学习法,具有训练时间短,但分类时间长的特点。K-最近邻算法可以用于分类和聚类中(The analogy learning method is K- nearest neighbor method. It belongs to the lazy learning method. Compared with the decision tree learning method, it has the characteristics o
plot_classifier_comparison
- 基于Pythoon的数值聚类分类算法，基于Python的三维立体点的空间最近邻分类(This example shows the effect of imposing a connectivity graph to capture local structure in the data. The graph is simply the graph of 20 nearest neighbors. Two consequences of imposing a connectivity can b