A Modified Feature Weighted Clustering Method for Space Payload Operational Mode Analysis

Feature-space clustering for fMRI meta-analysis.

Clustering functional magnetic resonance imaging (fMRI) time series has emerged in recent years as a possible alternative to parametric modeling approaches. Most of the work so far has been concerned with clustering raw time series. In this contribution we investigate the applicability of a clustering method applied to features extracted from the data. This approach is extremely versatile and e...

OPTIMUM WEIGHTED MODE COMBINATION FOR NONLINEAR STATIC ANALYSIS OF STRUCTURES

In recent years some multi-mode pushover procedures taking into account higher mode effects, have been proposed. The responses of considered modes are combined by the quadratic combination rules, while using the elastic modal combination rules in the inelastic phases is not valid. Here, an optimum weighted mode combination method for nonlinear static analysis is presented. Genetic algorithm is ...

A modified genetic algorithm for feature clustering

A new genetic algorithm (GA) based on feature clustering with an energy function is proposed for obtaining optimal segmentation. In the proposed algorithm, which we call the modified genetic algorithm (MGA), the length of each genome is the number of features and each individual (genome) represents one assignment of the input-features to labels. The energy function, which is used as a fitness f...

A Method for Defuzzication by Weighted Distance

Gabor Feature Space Diffusion via the Minimal Weighted Area Method

Gabor feature space is elaborated for representation, processing and segmentation of textured images. As a first step of preprocessing of images represented in this space, we introduce an algorithm for Gabor feature space denoising. It is a geometric-based algorithm that applies diffusion-like equation derived from a minimal weighted area functional, introduced previously and applied in the con...