搜索资源列表
K-L
- 做图像处理，模式识别的一个有用的参考，K-L算法源程序-do image processing, pattern recognition a useful reference, K-L algorithm source code
K-L_face
- 基于K-L的人脸识别源代码和修改后的PCA进行人脸识别的Matlab源代码-based on K-L Face Recognition source code and modify the PCA for face recognition Matlab source code
K-means算法源码
- kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers
K均值聚类算法
- 是模式识别中的一种分类算法，用C++编程，很实用。
K-L
- K-L又叫PCA，是人脸识别最基础的一个算法-KL also known as PCA, are the most basic of a Face Recognition Algorithm
K-L
- 基于K-L的人脸识别，全面实用，可以参考。-KL-based face recognition, comprehensive and practical, can refer to.
mpi_kmeans
- K means K均值算法 K means K均值算法 K means K均值算法-K means K means algorithm K means K means algorithm K means K means algorithm K means K means algorithm
K-means
- 典型的K均值聚类方法，用matlab编写，有几个文件，大家可以参考参考。-K-means clustering methods typically used matlab write, there are several files, you can refer to the reference.
Kmeans
- k均值聚类算法代码 用于模式识别等学科的编程应用-k-means clustering algorithm code for pattern recognition applications such as programming disciplines
K-MEANS
- 基于c++对模式识别中K均值算法进行实现，可以读取不同波段数，并且实现对地物的分类效果。代码简单易行。-K-means algorithm in pattern recognition based on the c++ implementation, can read the band number and classification of surface features. The code is simple.
K-Lface-recognition
- 基于K-L变换的人脸识别技术 包括人脸的重建 K-L计算 大家可以参考下-Based on KL Transform for Face Recognition technology including the reconstruction of the face KL calculation we can refer to
k-means
- 数据挖掘-聚类分析：k-平均(k-Means)算法实现（C++） -Data Mining- Cluster Analysis: k-average (k-Means) algorithm (C++)
K-LtrasformFisherregulation
- 基于K-L变换和Fisher 线性判别的人脸图像识别-the face recognition based on K-L trasformation and Fisher regulation
K-means
- 模式识别算法程序 K均值算法 主要是实现了K均值聚类分析算法，能够实现对图像的自动分类和识别。-Pattern recognition algorithm K-means algorithm K-means clustering analysis algorithms can achieve automatic image classification and identification.
K-nearest-neighbor
- K近邻估计方法，采用可变大小的小舱的密度估计方法。-K-nearest neighbor estimation method, the size of a small cabin with variable density estimation method.
k-neighbors
- k近邻，根据总样本确定一个参数k，即在总样本数为N时我们要求每个小舱内拥有的样本个数。-k neighbors, based on the total sample to determine a parameter k, ie, the total number of samples N, we require that each cabin has a small number of samples.
k-means
- gui matlab 多次迭代 k-means 可直接运行-gui matlab k-means multi-iteration
k
- 模式识别课程设计，K均值聚类，C语言代码-C progress
K
- K-MEANS聚类分析，用于实现目标识别效果~识别率较高~-K-MEAN Clustering analysis, used to achieve the target recognition effect ~ recognition rate is higher
K-means--C
- 运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code