Network anomaly detection is an important and dynamic research area. Many network
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …

Gene expression data hide vital information required to understand the biological process
that takes place in a particular organism in relation to its environment. Deciphering the …

The authors present a fuzzy validity criterion based on a validity function which identifies
compact and separate fuzzy c-partitions without assumptions as to the number of …

Vegetation Description and Data Analysis: A PracticalApproach, Second Edition is a fully
revised and up-datededition of this key text. The book takes account of recent advancesin …

A class of fuzzy ISODATA clustering algorithms has been developed previously which
includes fuzzy means. This class of algorithms is generalized to include fuzzy covariances …

Given a finite, unlabelled set of real vectors X, one often presumes the existence of (c)
subsets (clusters) in X, the members of which somehow bear more similarity to each other …

This study reports on a method for carrying out fuzzy classification without a priori
assumptions on the number of clusters in the data set. Assessment of cluster validity is …

The existing clustering validity indexes (CVIs) show some difficulties to produce the correct
cluster number when some cluster centers are close to each other, and the separation …

In this paper the convergence of a class of clustering procedures, popularly known as the
fuzzy ISODATA algorithms, is established. The theory of Zangwill is used to prove that …

Ignorance and Uncertainty overviews a variety of approaches to the problem of
indeterminacies in human thought and behavior. This book examines, in depth, trends in the …