Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
Exploring the dataset features through the application of clustering algorithms is a viable means by which the conceptual description of such data can be revealed for better understanding, grouping and decision making. Some clustering algorithms, especially those that are partitioned-based, clusters...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation of Computer Science (FCS)
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6418/ http://umpir.ump.edu.my/id/eprint/6418/ http://umpir.ump.edu.my/id/eprint/6418/ http://umpir.ump.edu.my/id/eprint/6418/1/Cluster_Analysis_of_Data_Points_using_Partitioning_and_Probabilistic_Model-based_Algorithms.pdf |