Conference
Comparison of Automatic Clustering and Manual Categorization of Documents
| Τίτλος: | Comparison of Automatic Clustering and Manual Categorization of Documents |
|---|---|
| Συγγραφείς: | Taghva, Kazem, Sharma, Meghna |
| Συνεισφορές: | Babak Akhgar |
| Πηγή: | Electrical and Computer Engineering Faculty Presentations |
| Στοιχεία εκδότη: | UNLV's Repository for Research, Scholarship, and Creative Activity |
| Έτος έκδοσης: | 2007 |
| Συλλογή: | University of Nevada, Las Vegas: Digital Scholarship@UNLV |
| Θεματικοί όροι: | Cluster analysis – Computer programs, Document clustering, Machine learning, Computer Engineering, Electrical and Computer Engineering, Theory and Algorithms |
| Περιγραφή: | 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. |
| Τύπος εγγράφου: | conference object |
| Γλώσσα: | unknown |
| Relation: | https://oasis.library.unlv.edu/ece_presentations/26 |
| Διαθεσιμότητα: | https://oasis.library.unlv.edu/ece_presentations/26 |
| Αριθμός Καταχώρησης: | edsbas.BACA5D75 |
| Βάση Δεδομένων: | BASE |
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