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Trace-and-AWK.tar
- It is for WSN Clustering.
fcm
- 模糊C均值聚类算法实现数据挖掘的matlab源代码-Fuzzy C-Means clustering algorithm for data mining matlab source code
Kmeans
- Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。-Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (
k-means-cl266639182001
- K-means算法的聚类分析 Visual basic版本-K-means Clustering
similarityCalculation
- 用c#方法描述了话题识别（话题跟踪与检测）的过程，主要是提取特征词、特征词词频计算、权重计算（tfidf方法），进行相似度计算，最后聚类-C# method describes the process of topic identification (topic tracking and detection), the word feature extraction, feature words word frequency calculation, weight to calculate me
CSR_denoise
- 一种利用中心和结构聚类的稀疏表示图像去噪方法，有不错的效果-a image denoising method with structral clustering and sparse representation, has good effect .
PK-means
- K-means聚类算法，用于文件、数据的聚类分析-K-means clustering algorithm for document clustering analysis of the data
Kkmeann-
- 使用k-means算法对150个数据集进行分簇。-K-means algorithm uusing 150 data sets to carry out sub-cluster. -Use k-means algorithm on 150 data sets clustering.-K-means algorithm uusing 150 data sets to carry out sub-cluster.
optics
- optics算法 [RD,CD,order]=optics(x,k)； Aim: Ordering objects of a data set to obtain the clustering structure Input: x - data set (m,n) m-objects 对象数, n-variables 变量数 k - number of objects in a neighborhood of the selected object-OPTICS Ordering
Kexample-temp-
- K-means聚类算法的实现，可以实现对图像色彩块进行分类，是一个不错的算法，就是处理起来慢了点-K-means clustering algorithm, could achieve the color of the image block classification is a good algorithm is handling up slow
Ikmeanssm
- 改进的k-means方法，对聚类的实例节能型加权 少数类多数类的函数-Improved k-means clustering instance, energy-efficient weighted minority class and majority class of functions
cencclusttarl
- 聚类算法Enclus的源程序源码，是是一种一种基于网格的方法 -Source source code of the clustering algorithm Enclus, is a based on the grid
LMLVVQzipV
- LVQ算法( Learning Vector Quantization，学习矢量量化网络)是一种一种基于模型（神经网络）的方法，本实验要实现的是对LVQQ改进的聚类方法——MLVQ（闫德勤等人提出）。该方法法克服了LVQ算法对初值敏感的问题与广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章) -LVQ algorithm (Learning Vector Quantization, learning vector quantization) is a based on the
WaveCluster
- 一个基于小波变换的数据聚类样例 Matlab实现-A sample Matlab based on wavelet transform data clustering
R_FCM
- 对高炉复杂数据进行归一化先去除量纲，然后进行聚类，聚类结果更好- The complex data of Blast furnace is normalized to first remove the dimension, and then clustering, clustering results better
6Ch06zip
- 6.1 简介6.2 资料的表示6.3 相似度的计算与测量6.4 分群法的采用6.5 分分割式分群法6.6 非分割式分群法6.7 分群法在大型资料集合之设计6.8 评估分群的结果 -6.1 Introduction 6.2 Data 6.3 Similarity Calculation and Measurement 6.4 clustering method using 6.5 segmentation clustering partition clustering method 6.7 c
MPiccture_Reca
- 硕士课程模式识别大作业 聚类程序源码的开发 isodata算法 边缘提取等 可直接使用。 -Job clustering program source development isodata of Master of pattern recognition algorithm for edge detection can be used directly.
cskmeans
- K均值聚类用matlab实现源程序，可用于其他算法的结合与实现-K-means clustering using matlab
paper1006
- 局部显著单元高维聚类算法High Dimensional Clustering Algorithm Based on Local Significant Units-High Dimensional Clustering Algorithm Based on Local Significant Units
cchaameleoonh
- 变色龙层次聚类算法，运运用动态模型的层次聚类算法 -Chameleon hierarchical clustering algorithm, transported using dynamic model of the hierarchical clustering algorithm