𝔖 Bobbio Scriptorium
✦   LIBER   ✦

ISOETRP—an interactive clustering algorithm with new objectives

✍ Scribed by C.Y. Suen; Q.R. Wang

Publisher
Elsevier Science
Year
1984
Tongue
English
Weight
529 KB
Volume
17
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A versatile clustering algorithm with ob
A versatile clustering algorithm with objective function and objective measure
✍ Judith M.S. Prewitt 📂 Article 📅 1972 🏛 Elsevier Science ⚖ 1022 KB

A computer program for nonparametric cluster synthesis, using similarity rather than maximum likelihood as the basis for class membership, is presented. The algorithm utilizes recursive computations to develop a hierarchy or tree of nested clusters. The major components of the program are: (1) a (di

Large scale systems with multiple object
Large scale systems with multiple objectives: An interactive negotiation procedure
✍ Fernando Antonio Gomide; JoséRoberto Cardarelli; Kyösti Tarvainen 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 630 KB

An interactive negotiation procedure for large scale systems with multiple objectives is proposed. It is assumed that there are multiple decision-makers, who have their own multiple objectives and who are dependent on each other via common resources or physical connections. The negotiation procedure

Interactive clustering and merging with
Interactive clustering and merging with a new fuzzy expected value
✍ Carl G. Looney 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 537 KB

Major problems exist in both crisp and fuzzy clustering algorithms. The fuzzy c-means type of algorithms use weights determined by a power m of inverse distances that remains ÿxed over all iterations and over all clusters, even though smaller clusters should have a larger m. Our method uses a di ere