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.
a collection of data is supplied by the database vendor. example: Oracle
Advantages: • High performance • Large capacity • High availability • Incremental growth Disadvantages: • Complexity • Inability to recover from database corruption
A data base is a collection of data.
What is meant by tender client database
Type your answer here... clustering?
Clustering algorithms may be classified as listed below:Exclusive ClusteringOverlapping ClusteringHierarchical ClusteringProbabilistic Clustering
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 Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).DDL stands for Database Definition Language. It is a language used to create a database. Most databases have a language that will do this. Normally it is a form of SQL (Structured Query Language).
Database testing is about checking exact values which have been retrieved from the database by the web or desktop application data should correctly match as per the records that are stored in the Database