FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Cluster analysis divides data into groups (clusters) that are meaningful, useful, or both. If meaningful groups are the goal, then the clusters should capture the natural structure of the data. In some cases, however, cluster analysis is only a useful starting point for other purposes, such as data summarization.

Detailed explanation-2: -Cluster analysis is a data analysis technique that explores the naturally occurring groups within a data set known as clusters. Cluster analysis doesn’t need to group data points into any predefined groups, which means that it is an unsupervised learning method.

Detailed explanation-3: -Cluster analysis is a multivariate data mining technique whose goal is to groups objects (eg., products, respondents, or other entities) based on a set of user selected characteristics or attributes.

Detailed explanation-4: -Cluster Analysis in Data Mining means that to find out the group of objects which are similar to each other in the group but are different from the object in other groups. In the process of clustering in data analytics, the sets of data are divided into groups or classes based on data similarity.

Detailed explanation-5: -A statistical tool, cluster analysis is used to classify objects into groups where objects in one group are more similar to each other and different from objects in other groups. It is normally used for exploratory data analysis and as a method of discovery by solving classification issues.