Database is defines as a collection related records/data. When the data in the database is grouped based on some classification it is called database clustering.
Clustering
Classification is a type of supervised learning (Background knowledge is known) and Clustering is a type of unsupervised learning(No such knowledge is known).
K-means clustering is a data mining learning algorithm used to cluster observations into groups of related observation without any prior knowledge of those relationships.
Clustering
Clustering is when two or more servers are linked together with the Network Load Balancing protocol (in Windows) to allow for faster response time and reliability. This way, if one server goes down, another can pick up the slack without any interuption in network performance - in theory anyway! :-)The word clustering means alot of numbers (:
Clustering in means gathering at a particular place. People clustered in the shelter during the rain.
This is a two part question. Clustering is when you group a set of objects in a way that the objects that are placed in the same group are similar. An example of clustering is the gathering of different populations based on language.
Cluster is a group of similar things together.
where is answer
Advantages: • High performance • Large capacity • High availability • Incremental growth Disadvantages: • Complexity • Inability to recover from database corruption
a collection of data is supplied by the database vendor. example: Oracle
Type your answer here... clustering?
Clustering algorithms may be classified as listed below:Exclusive ClusteringOverlapping ClusteringHierarchical ClusteringProbabilistic Clustering
A data base is a collection of data.
What is meant by tender client database
Database security is a term that is used to describe the saftey invested into a single database, or storage of numerous information and confidentials on a computer.
DDL stands for Data Definition Language, which is a set of commands used to define, alter, and drop database objects like tables, indexes, and views. DDL statements include commands like CREATE, ALTER, and DROP, and they are used to design the structure of the database and its schema.