搜索资源列表
ant
- 蚁群聚类算法，较好的实现了带聚类数据的聚类，已知了聚类数目。-ant conoly clustering
matlab-code
- 模式识别c均值聚类，也陈k均值，是模式识别中最最要的聚类方法之一。-Pattern Recognition, c-means clustering, and Chen k means, is far the most to the clustering pattern recognition methods.
Ant_clusting
- 蚁群聚类算法及其源码。是蚁群算法跟聚类算法的结合，启发式搜索社团结构。-Ant colony clustering algorithm and its source code. Ant colony algorithm with the clustering algorithm is a combination of heuristic search community structure.
KMEANS
- K-Means动态聚类算法源程序。可以用来发现社团结构。-Dynamic K-Means clustering algorithm source code. The structure can be used to find associations.
PR_SimpleClusteringP26
- 孙即祥：《现代模式识别》P.26：根据相似性阈值和最小距离原则的简单聚类方法MATLAB（另一种方法实现同一种算法）-SUN Xiang: " Modern pattern recognition" P.26: According to the similarity threshold and minimum distance principle of a simple clustering method MATLAB (another way to achieve the s
FCM
- 在matlab平台下实现的FCM（模糊C均值）聚类分割-In the matlab platform to achieve FCM (fuzzy C mean) clustering segmentation
FCM-tool-box
- 模糊C均值聚类算法工具箱 总有一种程序适合你-Fuzzy C-means clustering algorithm toolbox there a program for you
kmean_zmx_try
- k-means Cluster,kmean_zmx_try.rar,k均值聚类算法的matlab源代码-k-means Cluster,kmean_zmx_try.rar
aaa
- 是基于模糊聚类的图像分割算法 matlab代码
svm_matlab
- 用SVM算法实现聚类与分类的例程。内附实验数据，运行结果以及经典参考文献一篇《A New Fuzzy Cover Approach to Clustering》-SVM algorithm using clustering and classification routines. Included the experimental data, the results as well as the classic References 1 " A New Fuzzy Cover Appro
ants_arithgom
- aoc.m 是用matlab实现蚁群算法ants_information.m蚁群算法中信息素的构建 mcl是马尔科夫聚类算法 nmf是矩阵的非负分解 Generative Topographic Mapping工具包-aoc.m is matlab implementation of ant colony algorithm ants_information.m pheromone ant colony algorithm is a Markov clustering algorit
kmean_Clustering
- k均值聚类分析 c++版本 完全和MATLAB相同-k-means clustering analysis of c++ version of the same full and MATLAB
1
- 论述了医学图像挖掘在计算机辅助诊断中的作用，提出了采用灰度级作为 CT 图像特征的思想、灰度级的提取和存储方法，介绍 了采用决策树分类算法和基于密度的聚类算法对胸部和头部 CT 图像进行分类和聚类的结果及其分析，给出了分析的结论和进一步的研究方向。-Image mining Computer-aided diagnoses Luminance grade Classification Clustering
dbscan
- DBSCAN算法，利用数据集中密度差异来区分不同聚类。-DBSCAN algorithm, the density difference between the use of data sets to distinguish between different cluster.
pso
- 粒子群聚类算法-Particle cluster-like algorithm
Diana
- 经典层次聚类算法DIANA，MATLAB编程，简单易懂，可以运行-Classical hierarchical clustering algorithm DIANA, MATLAB programming, easy to understand, you can run
fcm
- 模糊c均值聚类算法在matlab里的实现。-Fuzzy c means clustering algorithm in matlab in implementation.
kmeans
- 一种改进的均值聚类算法，能很好的利用与图像分割技术-k-means cluster
1
- 模式识别分层聚类、k—均值算法，支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
FCM_Ju_lei_suan_fa
- 该文件包含了一般的FCM聚类算法和改进的FCM聚类算法-The document contains a general FCM clustering algorithm and the improved FCM clustering algorithm