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Data-warehousing-and-data-mining-10IS74-10CS755-->View question


Asked On2017-05-17 20:18:21 by:pallaviaithaln

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Clustering analysis is broadly used in many applications such as market research, pattern recognition, data analysis, and image processing.

  • Clustering can also help marketers discover distinct groups in their customer base. And they can characterize their customer groups based on the purchasing patterns.

  • In the field of biology, it can be used to derive plant and animal taxonomies, categorize genes with similar functionalities and gain insight into structures inherent to populations.

  • Clustering also helps in identification of areas of similar land use in an earth observation database. It also helps in the identification of groups of houses in a city according to house type, value, and geographic location.

  • Clustering also helps in classifying documents on the web for information discovery.

  • Clustering is also used in outlier detection applications such as detection of credit card fraud.

  • As a data mining function, cluster analysis serves as a tool to gain insight into the distribution of data to observe characteristics of each cluster.


Answerd on:2015-04-13 Answerd By:debikadebnath

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