搜索资源列表
K－Means聚类
- k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
K-junzhi
- 这是K均值聚类算法的程序,应用相当广泛的,比如在模式识别里就很重要.-This is the K-means clustering algorithm, application fairly extensive, such as pattern recognition is important to Lane.
k-meanss
- 模式识别作业，Ｃ程序编写的Ｋ－均值算法．-pattern recognition work, the C programming K-means algorithm.
K-meaneuclideandistance
- 这个是采用欧氏距离下的K-means算法的matlab实现-this is the Euclidean distance between the K-means algorithm to achieve the Matlab
fk-means
- 数据挖掘中模糊k均值算法，matlab工具编写。-data mining fuzzy k-means algorithm, Matlab tool for the preparation.
Exam096 k均值算法
- 用c语言编写的k均值算法-prepared by the k-means Algorithm
k均值聚类算法
- k均值算法的源代码-k means algorithm source code
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
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- 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-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
kmean2
- 用VC写的关于k-mean聚类算法的程序。-Written by VC on the k-mean clustering algorithm procedure.
GA1E1
- 用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source
sujuwajue
- 数据挖掘考试准备的算法源码，包含Aporio算法，K均值算法，层次分类算法，内含有使用说明，经过考试和实验通过。-Examination of data mining algorithms to prepare the source, including Aporio algorithm, K-means algorithm, hierarchical classification algorithm, after the adoption of examination and experime
k-means_clustering
- k means clustering k-均值聚类算法c语言版-k means clustering c k-均值聚类算法c语言版
RBF_sourcecode
- RBF学习方法，包括了：k-means、梯度、OLS三种方法。-RBF learning methods, including: k-means, gradient, OLS three types.
shujuwajue
- 算法描述: K均值聚类算法: 给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类之间的相似性最小-Algorithm Descr iption: K-means clustering algorithm: Given the number of classes K, the N objects assigned to a class K to go, making within-class similarity between objects
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- k均值算法，用matlab实现的，数据挖掘-k-means
K_mean_clustering
- k-mean clustering Matlab M-file
k-means
- 用C++实现k-mean聚类算法并进行初级的数据挖掘，-Using C++, k-mean clustering algorithm and a preliminary data mining,
knear
- K均值算法，用于聚类，程序写得比较好，容量读-K means algorithm for clustering, procedures written better, capacity Reading