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parzen_window
- 采用parzen窗函数方法对待估计的均值为0，方差为1的正态密度函数，随机抽取若干样本，估计概率密度函数-Window function method using parzen treat the estimated mean and variance of the normal density function, randomly selected from a number of samples, the estimated probability density function
window2
- Parzen window file which can estimate 2-dimensional normal distribution
proj04-01
- The Parzen-window Density Estimation
parzen-matlab
- pazzle 窗实现模式识别算法， parzen窗函数概率密度估计演示程序 完全按照《现代模式识别》孙即祥著作 2.4.4《动态聚类法》算法3实现 使用欧式距离作为测度标准-puzzle window to achieve pattern recognition algorithm
knn
- 自己写的parzen窗算法，和knn算法，在matlab2014a上运行过，无问题。-Write your own parzen window algorithm, and knn algorithm, run over on matlab2014a, no problem.
Parzen_k
- 主要内容包括两种非参数估计方法：Parzen窗估计和k最近邻估计。-The main contents include two non parametric estimation methods: Parzen window estimation and K nearest neighbor estimation.
kde
- 核密度估计,matlabkernel density estimation是在概率论中用来估计未知的密度函数，属于非参数检验方法之一，由Rosenblatt (1955)和Emanuel Parzen(1962)提出，又名Parzen窗（Parzen window）。Ruppert和Cline基于数据集密度函数聚类算法提出修订的核密度估计方法。-kernel density estimation
parzenWindowDensityEstimator
- parzen Window Density Estimator
Mulil
- Multispectral remotely sensing imagery with high spatial resolution, such as QuickBird, IKONOS satellite imagery or Aerial imagery, especially in urban scenes, often perform spectral variations and rich details within a category, resulting in
Pattern
- 模式识别的一些基本的算法，有最大最小距离分类法，简单的感知器算法，LMSE算法，以及Parzen窗函数。-Pattern recognition of some basic algorithms, have the largest minimum distance classification, simple perceptron algorithm, LMSE algorithm, as well as the Parzen window function.
knn_parzen
- a matlab code for testing k_near_neighbour and parzen window
Clustering-Hierarchical
- Clustering Hierarchical Histogram Parzen Window
程序
- 模式识别在MATLAB程序下的有关算法程序，包括Fisher分类，ML分类，parzen窗分类，直方图画法，roc曲线，roc分类等(Pattern recognition in the MATLAB program related algorithm program, including Fisher classification, ML classification, Parzen window classification, histogram drawing, ROC curve, RO