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textFCM
- 应用FCM（模糊c均值聚类）算法到文本聚类 采用两种方法计算文本相似度 采用ShootSeg分词 采用sogou互联网词库简化特征值计算-err
Kmeans_FCM
- java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java
Cmeanvalue
- 基于背景差分算法和C均值聚类算法的车辆检测与跟踪-Based on background difference algorithm and C means clustering algorithm for detecting and tracking vehicles
44444
- 用C实现的C均值算法，和c++相比也有所不同，希望学C的可以学习，在Linux下的eclipse中运行通过-C of C with the realization of the mean algorithm, and c++ Different compared to the hope that science can learn from the C in Linux to run under the eclipse through
k_mean
- K_mean K均值算法 C语言-K_mean K means algorithm C language
moshishibie
- 先用C-均值聚类算法程序，并用下列数据进行聚类分析。在确认编程正确后，采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X（设X样本的4个分量x1=x2=x3=x4=6；子集数l=3）的最近邻节点和3-近邻节点及X与它们之间的距离。-First C-means clustering algorithm procedures and with the following data for cluster analysis. After confirming t
RepeatFCM
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest simila
C-mean
- 模式识别中用matlab实现c均值的计算，分类实现的算法。-matlab，c-means fuction
imagesegmentation
- 模糊C－均值聚类算法,使用VC++与matlab 编程两种方法实现算法-Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways
cexam
- 模式识别中的c均值算法，可对100个随机样本数据进行不多于10的分类-C-Means Algorithm Pattern Recognition can be right 100 random sample data, the classification of not more than 10
mycar2
- 此代码是在matlab上实现车辆预测跟踪，根据c均值算法测出当前车辆中心，根据αβγ滤波预测下一状态的中心-This code is a matlab forecast track to achieve vehicle, according to c means algorithm to detect the current vehicle center, according to projections αβγ filter the center of the next state
sfcm
- 加入邻域信息的空间模糊c均值聚类算法的代码。-Join neighborhood information, spatial fuzzy c-means clustering algorithm code.
K_Mean
- c++k均值算法，简单的示例程度，对K-mean学习有帮组-c++ k means algorithm, a simple example of the extent of the K-mean learning to help groups
k_meansc_meansCluster
- 基于k均值、c均值等聚类算法，应用于数据挖掘-Based on the mean k, c means clustering algorithm, etc., used in data mining
K-Means
- 一个很好的C均值聚类算法！通过运行此文件可以很好的进行数据的分类。-K-means
Cmeansclusteringmethods
- 本算法在vc++6.0中进行实验。分别就分解聚类和C-均值聚类两种方法在IRIS数据集上进行操作。分类前先将数据集中的样本顺序打乱形成混合数据。分解聚类中，采用前100个样本用对分法编制程序将数据分为两类。C-均值聚类采用全部的150个样本，将类别参数K设为3，将数据分为三类。-The algorithm in vc++6.0 in the experiment. Separate cluster and decomposition of two C-means clustering metho
FCM
- 基于混合策略的演化模糊C均值算法，适用于控制系统的。-Hybrid Strategy Based on Fuzzy C means algorithm evolution for control systems.
ImprovedKMeans2
- 使用C-均值算法对N多个样本进行分类，改进后的C++程序。-C-means algorithm using multiple samples of the N classification, improved C++ program.
C_mean
- 该代码是matlab编写的C均值聚类算法，具有速度快，聚类效果好的特点-The matlab code is written in C means clustering algorithm, a fast clustering and a good effect
fuzzy_k_means
- 模糊K均值算法实现。Fuzzy K Means algorithm.-Fuzzy K Means algorithm.