1. Clustering :
Database Clustering is the process of combining more than one servers or instances connecting to a single database. Sometimes one server may not be adequate to manage the amount of data or the number of requests, that is when a Data Cluster is needed.SQL is the language used to manage the database information. Clustering takes different forms, depending on how the data is stored and allocated resources.
2. Classification of Database :
Database management systems can be classified based on several criteria, such as the data model, user numbers and database distribution etc as shown in the below figure.
Difference between Classification and Clustering in DBMS :
|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.|
Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the DSA Self Paced Course at a student-friendly price and become industry ready.
- ML | Classification vs Clustering
- Difference between CURE Clustering and DBSCAN Clustering
- Difference between 1NF and 2NF in DBMS
- Difference between DDL and DML in DBMS
- Difference between 2NF and 3NF in DBMS
- Difference between Database and DBMS
- Difference between BCNF and 4NF in DBMS
- Difference between RDBMS and DBMS
- Difference between 3NF and BCNF in DBMS
- Difference between Generalization and Specialization in DBMS
- Difference between File System and DBMS
- Difference between Assertions and Triggers in DBMS
- Difference between OLAP and OLTP in DBMS
- Difference between Schema and Instance in DBMS
- Difference between Selection and Projection in DBMS
- Difference between Cursor and Trigger in DBMS
- Difference between Trigger and Procedure in DBMS
- Difference between Client /Server and Distributed DBMS
- Main difference between Timestamp protocol and Thomos write rule in DBMS
- Clustering in R Programming
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.