Comparison of Automatic Clustering and Manual Categorization of Documents
15th International Workshops on Conceptual Structures
The fundamental goal of this research is to learn whether unsupervised learning can be used to cluster documents in the collection in a similar way that manual categories are. We report on our experiments with K-mean clustering algorithm to provide a partial answer to the above mentioned goal.
Cluster analysis – Computer programs; Document clustering; Machine learning
Computer Engineering | Electrical and Computer Engineering | Theory and Algorithms
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Comparison of Automatic Clustering and Manual Categorization of Documents.
Presentation at 15th International Workshops on Conceptual Structures,
Available at: https://digitalscholarship.unlv.edu/ece_presentations/26