基于模型聚類算法的matlab實現
This does the entire MB CLUSTERING given a set of data.
It only does the 4 basic models, unequal-unknown priors. It
returns the BESTMODEL based on the highest BIC.
Form1.cs是應用聚類算法DBSCAN (Density-Based Spatical CLUSTERING of Application with Noise)的示例，可以通過兩個參數EPS和MinPts調節聚類。DBSCAN.cs是全部算法的實現文件，聚類算法的進一步信息請參考“數據挖掘”或者相關書籍。聚類示例數據來自于sxdb.mdb，一個Access數據庫。
FCMDEMO displays a GUI window to let you try out various parameters
in fuzzy c-means CLUSTERING for 2-D data. You can choose the data set
and CLUSTERING number from the GUI buttons at right, and then click
"Start" to start the fuzzy CLUSTERING process.
