搜索资源列表
rbf_Kmeans
- Matlab环境下实现的RBF神经网络K均值聚类算法-Matlab environment to achieve the RBF neural network K-means clustering algorithm
F-K
- 二维F-K偏移，声波波动方程程序，偏移归位算法。-Two-dimensional FK migration, acoustic wave equation program, offset algorithm
song
- 计算K熵的matlab程序，适用于混沌中某一点三个方向的时间序列，在前人的基础上改编的- entropy matlab calculation procedures to apply to the direction of chaos in a 1.3 time series, based on the adaptation of our predecessors
the-num-k-element
- 寻找中项和第k小元素 通过使用线性时间分析的数学方法 从而找到第k小元素 而不用排序以后再找-you can find the middle element and the num k element in a array which is not originally sorted
dsisoftv3
- ：DSISoft是由加拿大地质调查局发布的用于垂直地震剖面(VSP)数据处理的免费软件包，其在MATLAB5．0或更高版本下运行。该软件包含有不同标准地震数据的读写、编辑、排序、滤波和其他标准的处理模块。利用MATLAB 图形用户界面编辑器可设计出具有地震剖面显示、频谱分析、F—K滤波、道头信息绘制等功能的交互界面。-DSISoft is published by the Geological Survey of Canada for use in vertical seismic profil
code_knn
- K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
KMEANS
- K-Mean聚类算法，对各种格式的图像进行分层聚类。-This is a K-Mean culstering aligroam.
soft_K-Best
- K-best算法的Matlab程序，包括完整的k-best算法和double k-best 算法。-K-best algorithm of Matlab procedures, including a complete k-best algorithm and the double k-best algorithm.
pso-clustering
- 基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.
K_Medoids
- K-medoids算法的实现，c++实现-K-medoids cluster algorithm
kdtree
- K-D树源码，不错的空间查找算法，在三维重建和匹配中应用较多！-KD tree source, good space search algorithm, in the three-dimensional reconstruction and matching the application of more!
Kfenbuzabo
- K分布高斯杂波仿真，matlab，网格映像法-Gaussian K distribution clutter simulation, matlab, mesh imaging method
K-SVD工具箱
- 用于信号稀疏表示的K-SVD字典学习算法工具箱，有详细的Demo，方便理解。
udf-k-e-turbulence-model
- 湍流模型的udf编译文件 写的是fluent中默认的k-e模型的文件，可以以此为基础进行来更改-This is a udf flie about turbulence model which is in the fluent software, and you can edit it in your own method.
PBdatawindow
- POWERBUILDER DATAWINDOW中的极品，含有甘特图、控制图、K线图等-POWERBUILDER DATAWINDOW of the best, with Gantt chart, control charts, K line graph, etc.
KD_Tree
- KD_Tree In computer science, a kd-tree (short for k-dimensional tree) is a space-partitioning data structure for organizing points in a k-dimensional space. kd-trees are a useful data structure for several applications, such as searches involving a m
kmeans
- this is a very good code for k means clustering. works quite fast. can download for school assignments.
exer-kmean
- k均值算法实现聚类 c语言编写-k-means clustering algorithm c language
KClustering
- k-聚类算法-k- gathers a kind of algorithm