Λεπτομέρειες βιβλιογραφικής εγγραφής
| 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 |