By Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nurnberger, Wolfgang Gaul (Editors)

The quantity includes revised types of chosen papers provided in the course of the twenty ninth Annual convention of the Gesellschaft f?r Klassifikation (GfKl), the German type Society, held on the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. as well as papers at the conventional matters class, Clustering, and information research, there are numerous papers on a variety of themes with a robust relation to desktop technology. Examples are textual content Mining, internet Mining, Fuzzy facts research, IT safeguard, Adaptivity and Personalization, and Visualization. Application-oriented themes contain Economics, advertising, Banking and Finance, medication, Bioinformatics, Biostatistics, and song research.

Show description

Read Online or Download From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University..... Studies in Classification, Data Analysis, and Knowledge Organization PDF

Best analysis books

Stochastic Phenomena and Chaotic Behaviour in Complex Systems: Proceedings of the Fourth Meeting of the UNESCO Working Group on Systems Analysis Flattnitz, Kärnten, Austria, June 6–10, 1983

This ebook includes all invited contributions of an interdisciplinary workshop of the UNESCO operating team on structures research of the ecu and North American sector entitled "Stochastic Phenomena and Chaotic Behaviour in complicated Systems". The assembly was once held at resort Winterthalerhof in Flattnitz, Karnten, Austria from June 6-10, 1983.

Arbeitsbuch Mathematik für Ingenieure: Band I: Analysis und Lineare Algebra

Das Arbeitsbuch Mathematik für Ingenieure richtet sich an Studierende der ingenieurwissenschaftlichen Fachrichtungen. Der erste Band behandelt Lineare Algebra sowie Differential- und Integralrechnung für Funktionen einer und mehrerer Veränderlicher bis hin zu Integralsätzen. Die einzelnen Kapitel sind so aufgebaut, dass nach einer Zusammenstellung der Definitionen und Sätze in ausführlichen Bemerkungen der Stoff ergänzend aufbereitet und erläutert wird.

Additional resources for From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University..... Studies in Classification, Data Analysis, and Knowledge Organization

Example text

And VENTURINI, G. (1999): On improving MONMARCHE, clustering in numerical databases with artificial ants. Proc. 5th European Conf. on Artificial Life (ECAL’99), LNAI 1674, 626–635. Springer-Verlag, Berlin. , and BATOUCHE, M. (2002): Unsupervised image segmentation using a colony of cooperating ants. Biologically Motivated Computer Vision, 2nd Int. Workshop, BMCV 2002, LNCS 2525, 109–116. Springer-Verlag, Berlin. C. (1995): On cluster validity for the fuzzy c-means model. IEEE Trans. on Fuzzy Systems, 3(3):370–379.

Section 4 is experimental results and Section 5 is a discussion and conclusions. 2 Fuzzy Ants Clustering Algorithm The ants co-ordinate to move cluster centers in feature space to search for optimal cluster centers. Initially the feature values are normalized between 0 and 1. Each ant is assigned to a particular feature of a cluster in a partition. The ants never change the feature, cluster or partition assigned to them as in Kanade and Hall (2004). After randomly moving the cluster centers for a fixed number of iterations, called an epoch, the quality of the partition is evaluated by using the Xie-Beni criterion (4).

Master’s thesis, University of South Florida, Tampa, FL. O. (2004): Fuzzy ants clustering with centroids. Proc. 13th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE’04). IEEE Press, Piscataway, NJ. , and LEE, D. (2004): A novel initialization scheme for the fuzzy c-means algorithm for color clustering. Pattern Recognition Letters, 25(2):227–237. , and VENTURINI, G. (2002): A new clustering algorithm based on the chemical recognition system of ants. Proc. European Conf. on Artificial Intelligence, 345–349.

Download PDF sample

Rated 4.04 of 5 – based on 47 votes