Clustering konsep dokumen berbahasa Indonesia menggunakan Bisecting K-means
| Main Author: | Ramdani, Hizry |
|---|---|
| Other Authors: | Djatna, Taufik, Musthofa |
| Terbitan: |
IPB (Bogor Agricultural University)
, 2011
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| Subjects: | |
| Online Access: |
http://repository.ipb.ac.id/handle/123456789/47238 |
Daftar Isi:
- In recent years, we have seen a tremendous growth in the volume of text documents available on the Internet, digital libraries, news sources, and company-wide intranets. This has led to an increased interest in developing methods that can efficiently categorize and retrieve relevant information. Concept indexing (CI) is a dimensionality reduction algorithm. Recently, techniques based on dimensionality reduction have been explored for capturing the concepts present in a collection of documents. In this research we investigate concept indexing as interpretation concept in Indonesian documents for clustering documents using bisecting K-means. This research showed concept-based documents clustering was achievable and that it increased the F-measure up to 38% as compared to word-based clustering.