分层聚类和非分层聚类之间的区别

层次聚类：
层次聚类基本上是一种无监督聚类技术，它涉及以预定义的顺序创建聚类。簇以从上到下的方式排序。在这种类型的聚类中，相似的聚类被分组在一起并以分层方式排列。它可以进一步分为两种类型，即凝聚层次聚类和分裂层次聚类。在这种聚类中，我们将层次结构中所有数据对象的聚类对链接起来。

非层次聚类：
Non Hierarchical Clustering 涉及通过合并或拆分簇来形成新的簇。它不像层次聚类那样遵循树状结构。这种技术将数据分组以最大化或最小化某些评估标准。K 表示聚类是一种有效的方法非层次聚类。在这种方法中，分区是这样进行的，即非重叠组之间没有层次关系。
分层聚类和非分层聚类的区别：

S.NO.	Hierarchical Clustering:	Non Hierarchical Clustering:
1.	Hierarchical Clustering involves creating clusters in a predefined order from top to bottom .	Non Hierarchical Clustering involves formation of new clusters by merging or splitting the clusters instead of following a hierarchical order.
2.	It is considered less reliable than Non Hierarchical Clustering.	It is comparatively more reliable than Hierarchical Clustering.
3.	It is considered slower than Non Hierarchical Clustering.	It is comparatavely more faster than Hierarchical Clustering.
4.	It is very problematic to apply this technique when we have data with high level of error.	It can work better then Hierarchical clustering even when error is there.
5.	It is comparatively easier to read and understand.	The clusters are difficult to read and understand as compared to Hierarchical clustering.	6.	It is relatively unstable than Non Hierarchical clustering.	It is a relatively stable technique.