Transcription of Cluster Analysis: Basic Concepts and Algorithms
{{id}} {{{paragraph}}}
8 Cluster Analysis: Basic Concepts andAlgorithmsCluster analysis divides data into groups (clusters) that are meaningful, useful,or both. If meaningful groups are the goal, then the clusters should capture thenatural structure of the data. In some cases, however, Cluster analysis is only auseful starting point for other purposes, such as data summarization. Whetherfor understanding or utility, Cluster analysis has long played an importantrole in a wide variety of fields: psychology and other social sciences, biology,statistics, pattern recognition, information retrieval, machine learning, anddata have been many applications of Cluster analysis to practical prob-lems.
Understanding the Earth’s climate requires finding patterns in the atmosphere and ocean. To that end, cluster analysis has been ... Cluster analysis can also be used to detect patterns in the spatial or temporal distribution of a disease. • Business. Businesses collect large amounts of information on current
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}