DBMS中分类和聚类之间的区别

1.聚类：
数据库集群是合并多个连接到单个数据库的服务器或实例的过程。有时一台服务器可能不足以管理数据量或请求数，也就是说，当需要数据集群时。SQL是用于管理数据库信息的语言。集群采用不同的形式，具体取决于数据的存储方式和资源分配方式。

2.数据库分类：
数据库管理系统可以基于几个标准进行分类，例如数据模型，用户编号和数据库分布等，如下图所示。

DBMS中分类和聚类之间的区别：

CLASSIFICATION	CLUSTERING
Its all about predicting the output when input data is given.	It is all about grouping data points together based on similarities among them and difference from others.
Labeled data is provided.	Unlabeled data provided.
This model function classifies the data into one of defined definite classes.	This function maps the data into one of the multiple clusters where the arrangement of data items is relies on the similarities between them.
In classification data are grouped by analyzing data objects whose class label is known.	Clustering analyzes data objects without knowing class label.
There is some prior knowledge of attributes of each classification.	There is no prior knowledge of attributes of data to form clusters.
It is done by classifying output based on the value of input data.	It is done by grouping only the input data because output is not predefined.
The number of class are known before classification as there is predefined output based input data.	The number of clusters are not known before clustering.These are identified after completion of clustering.
It is considered as the supervised learning because class labels are known before.	It is considered as unsupervised learning because their is no prior knowledge of class label.