The Fuzzy CLustering and Data Analysis Toolbox is a collection of Matlab
functions. Its propose is to divide a given data set into subsets (called
clusters), hard and fuzzy partitioning mean, that these transitions between
the subsets are crisp or gradual.
CURE（CLustering Using Representatives）是一種針對大型數(shù)據(jù)庫的高效的聚類算法。基于劃分的傳統(tǒng)的聚類算法得到的是球狀的，相等大小的聚類，對異常數(shù)據(jù)比較脆弱。CURE采用了用多個點代表一個簇的方法，可以較好的處理以上問題。并且在處理大數(shù)據(jù)量的時候采用了隨機取樣，分區(qū)的方法，來提高其效率，使得其可以高效的處理大量數(shù)據(jù)。
