(模糊聚类和数据分析工具箱)
(模糊聚类和数据分析工具箱)The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions:
- Clustering algorithms. These functions group the given data set into clusters by different approaches: functions Kmeans and Kmedoid
are hard partitioning methods, FCMclust, GKclust, GGclust are fuzzy partitioning methods with different distance norms.
- Evaluation with cluster prototypes. On the score of the clustering results of a data set there is a possibility to calculate membership for "unseen" data sets with these set of functions. In 2-dimensional case the functions draw a contour-map in the data space to visualize
the results.
- Validation. The validity function provides cluster validity measures for each partition. It is useful when the number of cluster is unknown a priori. The optimal partition can be determined by the point of the extrema of the validation indexes in dependence of the number of clusters. The indexes calculated are: Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni's Index (XB), Dunn's Index (DI) and Alternative Dunn Index (DII).
- Visualization. The Visualization part of this toolbox provides the modified Sammon mapping of the data. This mapping method is a
multidimensional scaling method described by Sammon.
- Examples. An example based on industrial data set to present the usefulness of these toolbox and algorithms.
**** Hidden Message *****
好东西。。。。。。。。 {:3_46:}{:3_41:} 不错的东西 gancm 发表于 2014-10-14 17:28 static/image/common/back.gif
不错的东西
那就搬走吧 建不了的模。 发表于 2014-10-14 17:31 static/image/common/back.gif
那就搬走吧
哈哈哈哈，工具箱这些很棒的，管理员大哥的东西总是这么高大上！！ 建不了的模。 发表于 2014-10-14 17:31 static/image/common/back.gif
那就搬走吧
哈哈哈哈，工具箱这些很棒的，管理员大哥的东西总是这么高大上！！ 全是英文！！ 看看先 呦呦，顶起来
kankankankankan