The Denclue algorithm employs a cluster model based on kernel density estimation. A
cluster is defined by a local maximum of the estimated density function. Data points are …

In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-
type weighted mean procedure. Herein, we first discuss three classes of Gaussian, Cauchy …

Automatic logo detection and recognition continues to be of great interest to the document
retrieval community as it enables effective identification of the source of a document. In this …

In this paper, a type-2 fuzzy switching control system is proposed for a biped robot, which
includes switched nonlinear system modeling, type-2 fuzzy control system design, and a …

This paper presents two different power system stabilizers (PSSs) which are designed
making use of neural fuzzy network and genetic algorithms (GAs). In both cases, GAs tune a …

In this paper, a new level-based (hierarchical) approach to the fuzzy clustering problem for
spatial data is proposed. In this approach each point of the initial set is handled as a fuzzy …

Poor control of U-tube steam generators (UTSG) in a nuclear power plant can lead to
frequent reactor shutdowns or damage of turbine blades. The dynamics of steam generator …

The fuzzy c-means (FCM) and possibilistic c-means (PCM) algorithms have been utilized in
a wide variety of fields and applications. Although many methods are derived from the FCM …

We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on
different feature spaces—so-called parallel universes—and also incorporates noise …

Truck backer-upper problem is a typical benchmark for many control methods in nonlinear
system identification. In this paper, first, the traditional fuzzy control system is studied for the …