搜索资源列表
KMeansClusterConsole
- K均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
k-meams(sourcecode)
- C#实现k均值文本聚类算法，文本聚类C#源程序，k-means聚类算法-C# to achieve k means clustering algorithm, document clustering C# source code, k-means clustering algorithm
DBSCAN
- Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。 DBSCAN.cs是实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍 聚类示例数据来自于sxdb.mdb，一个Access数据库-Form1.cs is the application of clustering algorithm DBSCAN (Dens
FuzzyClust
- FuzzyClust 模糊聚类 用C#语言描述.聚类方式包括:全部,按λ值,按规定类别数-FuzzyClust fuzzy clustering described using C# language. Clustering methods include the following: all, according to λ values, in accordance with the provisions of several categories
segmentatioin
- Hough变换检测直线，阈值选取对图像灰度化处理，以及空间类聚法，松弛迭代算法-Hough transform detection of a straight line, threshold selection of image processing, as well as space-type polymerization, relaxation iterative algorithm
aunt
- 蚁群算法，适合于图像处理，可以用的哦-it is very good for image prcessing
weka-src
- weka源代码 最全最新的 数据挖掘用机器学习实现。包含聚类 分类 关联规则 离群点监测。java平台-weka most up-to-date source of data mining using machine learning to achieve. Clustering association rules classification contains outliers monitoring. java platform
src
- 使用k-means和fcm实现聚类，可选择有效性指标-And the use of k-means clustering to achieve fcm the option of the effectiveness of indicators
K_Mean
- it implements K-means algorithm in pattern recognition
kmeans
- C# 聚类k-means 建立tf*idf的聚类过程-C# cluster for every one
DocumentClustering
- 可以实现大批文档的聚类 代码实效性 有利于很长一篇文档的有效规整-Can achieve a large number of document clustering code effectiveness of a document is conducive to effective long regular
k_means
- k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
segmentatioin
- 用csharp实现了多种图像分割算法，hough变换，松弛迭代法，聚类方法等-use csharp language completed several image segmentation algorithms