✦ LIBER ✦

Active semi-supervised fuzzy clustering

✍ Scribed by Nizar Grira; Michel Crucianu; Nozha Boujemaa

Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 459 KB
Volume: 41
Category: Article
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2007.10.004

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Semi-supervised fuzzy clustering: A kern

Semi-supervised fuzzy clustering: A kernel-based approach

✍ Huaxiang Zhang; Jing Lu 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 279 KB

Semi-supervised outlier detection based

Semi-supervised outlier detection based on fuzzy rough C-means clustering

✍ Zhenxia Xue; Youlin Shang; Aifen Feng 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 383 KB

Fuzzy clustering with supervision

✍ Witold Pedrycz; George Vukovich 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 567 KB

Algorithms of fuzzy clustering with part

Algorithms of fuzzy clustering with partial supervision

✍ Witold Pedrycz 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 413 KB

Data mining for text categorization with

Data mining for text categorization with semi-supervised agglomerative hierarchical clustering

✍ Antonio Gómez Skarmeta; Amine Bensaid; Nadia Tazi 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 119 KB

In this paper we study the use of a semi-supervised agglomerative hierarchical clustering Ž . ssAHC algorithm to text categorization, which consists of assigning text documents to Ž . Ž . predefined categories. ssAHC is i a clustering algorithm that ii uses a finite design set Ž . Ž . of labeled dat

Hybrid model building methodology using

Hybrid model building methodology using unsupervised fuzzy clustering and supervised neural networks

✍ M. Ronen; Y. Shabtai; H. Guterman 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 164 KB