The last step in training phase is refinement of the clusters
found above. Although DynamicClustering counters all the
basic k-means disadvantages, setting the intra-cluster similarity
r may require experimentation. Also, a cluster may
have a lot in common with another, i.e., sequences assigned
to it are as close to it as they are to another cluster. There
may also be denser sub-clusters within the larger ones.
標(biāo)簽：
DynamicClusteri
refinement
Although
clusters
上傳時(shí)間：
2014-01-04
上傳用戶(hù)：watch100
