是一種精簡資料的方法，依據樣本之間的共同屬性，將比較相似的樣本聚集在一

是一種精簡資料的方法，依據樣本之間的共同屬性，將比較相似的樣本聚集在一起，形成集群(cluster)。通常以距離作為分類的依據，相對距離愈近，相似程度愈高，分群之後可以使得群內差異小、群間差異大。

結果 (英文) 1:

Is a way to streamline the data, based on common attributes between the sample, the more similar samples gathered together to form a cluster (cluster). Usually at a distance as a basis for classification, the closer the relative distance, the higher the degree of similarity, after grouping within small groups can make the difference, big difference between the groups.

結果 (英文) 2:

is a method of streamlining data that brings together similar samples to form clusters based on common attributes between samples. Usually with distance as the basis for classification, the closer the relative distance, the higher the degree of similarity, after the group can make the group difference is small, the difference between groups is large.

結果 (英文) 3:

It is a method of data reduction. According to the common attributes of samples, the more similar samples are gathered together to form a cluster. Generally, the closer the relative distance is, the higher the degree of similarity is. After clustering, the difference within the cluster is small and the difference between groups is large.