✦ LIBER ✦

Principal components of a fuzzy clustering

✍ Scribed by Peter J. Rousseeuw; Marie-Paule Derde; Leonard Kaufman

Publisher: Elsevier Science
Year: 1989
Tongue: English
Weight: 244 KB
Volume: 8
Category: Article
ISSN: 0165-9936
DOI: 10.1016/0165-9936(89)80037-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Multiconformational investigations of po

Multiconformational investigations of polypeptidic structures, using clustering methods and principal components analysis

✍ André G. Michel; Catherine Jeandenans 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 848 KB

A review of fuzzy clustering methods

✍ R.H. Davis; C.E. Economou 📂 Article 📅 1984 🏛 Elsevier Science ⚖ 276 KB

Rotation of principal components: A repl

Rotation of principal components: A reply

✍ Richman, Michaf. L. B. 📂 Article 📅 1987 🏛 Wiley (John Wiley & Sons) ⚖ 793 KB

Jolliffe's comments raise some intcresting and important points concerning both unrotated principal component analysis and rotated principal component analysis that deserve further consideration. These are examined herein, with particular attention to my original review of rotation. ## KEY WORDS Pr

Towards a robust fuzzy clustering

✍ Jacek Łęski 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 370 KB

Fuzzy clustering helps to ÿnd natural vague boundaries in data. The Fuzzy C-Means method (FCM) is one of the most popular clustering methods based on minimization of a criterion function. However, one of the greatest disadvantages of this method is its sensitivity to presence of noise and outliers i

Fuzzy clustering of semantic spaces

✍ José Francisco Martı́nez-Trinidad; José Ruiz-Shulcloper 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 164 KB

The principal components of reflectances

✍ Hugh S. Fairman; Michael H. Brill 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 347 KB