Comparison of Distributed K-Means and Distributed Fuzzy C-Means Algorithms for Text Clustering
Text clustering has been developed in distributed system due to increasing data. The popular algorithms like K-Means (KM) and Fuzzy C-Means (FCM) are combined with MapReduce algorithm in Hadoop Environment to be distributable and parallelizable. The problem is performance comparison between Distribu...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | EJournal Article |
| Published: |
Komunitas Ilmuwan dan Profesional Muslim Indonesia,
2017-06-01.
|
| Subjects: | |
| Online Access: | Get Fulltext |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
Get Fulltext3rd Floor Main Library
| Call Number: |
A1234.567 |
|---|---|
| Copy 1 | Available |