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Hierarchical Clustering for Categorical and Normal Attributes | ||
| Baghdad College of Economic sciences University | ||
| Article 1, Volume 0, Issue 15, 2018, Pages 327-338 | ||
| Author | ||
| Raed Ibraheem Hamad | ||
| Abstract | ||
| The amount of data kept in computer files and databases is growing at a phenomenal rate. At the same time the users of these data are expecting more sophisticated information from them. the problem of data mining or knowledge discovery has become increasingly important in recent years.there is an enormous wealth of information embedded in large data warehouses.Alternatively the data mining has been called exploratory data analysis,data driven discovery, and deductive learning. the clustering algorithm which is one of the data mining algorithms is useful technique for grouping data points such that points within a single group/cluster have similar characteristics. | ||
| Keywords | ||
| clustering; Categorical attribute; normal Attributes | ||
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