搜索资源列表
MeanShift
- mean shift clustering
k1
- clustering the data for data mining
ant_clustring
- 蚁群算法用于已知数目的聚类问题,解决任务分配等问题-Ant colony algorithm for clustering已知数purpose of solving the task allocation
kMeans
- k-mean image clustering source code developed using java
KMeansImageClustering
- This very usefull file which helps for image clustering using java-This is very usefull file which helps for image clustering using java
SimpleRegionGrowing
- usefull k-mean algorithm developed for image clustering using java
clustering
- To identify distinguishable clusters of data in an n-dimensional pixel value image. Given: Samples of multi-spectral satellite images -To identify distinguishable clusters of data in an n-dimensional pixel
clara
- CLARA是基于k中心点的一种划分方法的实现，区别于别的划分方法，Clara是用于大规模分类运用方法的简称，可以实现对大规模数据的分类-CLARA(abbreviated from clustering large applications), is based on the k-medoid appraoch, which can be useful in clustering large data sets.
isodata
- isodata image clustering matlab code
provaisodata
- a type of isodata clustering
bayes
- 数据挖掘聚类算法：bayes源代码,使用JAVA语言实现-data mining clustering algorithm
SimpleKMeans
- 数据挖掘聚类算法：SimpleKMeans源代码，采用JAVA语言编程实现-Clustering Algorithm of Data Mining: SimpleKMeans source code, the use of JAVA programming language
FuzzyCMeansClustering_v[1].0.2
- Fuzzy C-Mean Clustering algorithm implementation in c sharp
jiyujunzhidingweidechepaidingweiyushibiexitong
- 基于均值聚类的车牌定位与识别系统,用Delphi写得，非常有用哦-Means clustering based on the license plate location and recognition system, written using Delphi, a very useful ~~~~~~ Oh
LF
- 基于MATLAB蚁群算法LF解决聚类问题源程序代码，包括文档与论文-MATLAB-based ant colony algorithm to solve clustering problem LF source code, including documents and papers
2007-12-03-svc[1]
- support vector clustering for vc-support vector clustering for vc++
fcss1
- 模糊C-球壳(FCSS)聚类算法在matlab中的实现-Fuzzy C-spherical shells (FCSS) clustering algorithm to achieve in the matlab
CA
- CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。-CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical
Yong
- Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
kmeans
- k means clustering algorithm used for clustering a spread data