✦ LIBER ✦
A partitioning based algorithm to fuzzy co-cluster documents and words
✍ Scribed by William-Chandra Tjhi; Lihui Chen
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 301 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0167-8655
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper, a new algorithm fuzzy co-clustering with RuspiniÕs condition (FCR) is proposed for co-clustering documents and words. Compared to most existing fuzzy co-clustering algorithms, FCR is able to generate fuzzy word clusters that capture the natural distribution of words, which may be beneficial for information retrieval. We discuss the principle behind the algorithm through some theoretical discussions and illustrations. These, together with experiments on two standard datasets show that FCR can discover the naturally existing document-word co-clusters.