搜索资源列表
K_average
- k均值聚类或者成为均值聚类，用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
k-query_up.cpp
- spoj k-query. Given lots of offline queries and updates, reoder the queries and updates so that they maybe efficiently preprocessed.
kdtree
- 用matlab编写的k-dtree，加快搜索，在点云拼合中应用广泛。-Matlab prepared with k-dtree, to speed up the search, put together in the point cloud in a wide range of applications.
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.
matlab_MRF
- k-均值算法的源码很有用，希望有帮助，请多多指点-k-means algorithm is useful source of hope that has helped, please instruct it
123456789K_Average
- K均值算法的matlab代码，使用起来很简单，对于模式识别的效果也很好，初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
gaknn2008-12-08
- 本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm.
kcluster
- 一种基于软划分方法的聚类方法——模糊k均值法聚类分析。-A division of methods based on soft clustering method- fuzzy k-means cluster analysis.
kmeansclustering
- K means clustering using php.
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
KShortestPaths
- 在GRAPH中找出K條最短路徑,並且輸出到SP.txt檔中-In GRAPH find K shortest paths, and output to file SP.txt
libkdtree_0.7.0
- 一个KD-tree的类STL模板库，版本为0.7.0-libkdtree++ is an STL-like C++ template container implementation of k-dimensional space sorting, using a kd-tree.
KNN
- K Nearest Neighbor algorithm Implementation and Overview
2
- 一辆汽车加满油后可行驶n公里。旅途中有若干个加油站。设计一个有效算法，指出应在哪些加油站停靠加油，使沿途加油次数最少。 编程任务： 对于给定的n和k(k <= 10000)个加油站位置，编程计算最少加油次数。 -Top up after a car traveling n kilometers. The road has a number of gas stations. Design an effective algorithm that should be docked
K-Means
- 用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
k-MeansJava
- k-Means算法Java实现 数据挖掘中经典的Kmeans算法设计与实现-k-Means Algorithm for Data Mining Java implementation of the classic algorithm design and implementation Kmeans
orthogonal_signal_BER
- 以cos（2*pi*k*t/N）信号空间，k=0,1,……N-1, 取N= 4，8，16，32，64等基信号作为传输信号，通过计算机仿真正交信号的误码率。-To cos (2* pi* k* t/N) signal space, k = 0,1, ... ... N-1, take N = 4,8,16,32,64, such as the base signal as a transmission signal, through computer simulation orthogonal s
numerical_analysis_homework
- (有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的
k-means
- 使用k-means算法模拟向量量子化过程-Using k-means algorithm for vector quantization process simulation