We use C-Means clustering algorithm to assess comparatively the performance of non-banking financial institutions (NFIs) in Romania. Firstly, we consider this real world application as a knowledge discovery problem (Data Mining) and we engage in a thorough literature review regarding the application of Data Mining methods in assessing comparatively companies’ financial performance. Then, we app...

Lung lesion segmentation refers to the process of partitioning an image into mutually exclusive regions. This study gives a new approach to K-means clustering technique (K-CT) integrated with Fuzzy C-means algorithm for lung segmentation. In the study, large number of images with various types of segmentation was selected and examined. It is followed by thresholding and level set segmentation s...

Magnetic resonance imaging is often the medical imaging method of choice when soft-tissue delineation is necessary. This paper presents a new approach for automated detection of brain tumor based on k-means and possibilistic c-means clustering with color segmentation, which separates brain tumor from healthy tissues in magnetic resonance images. The magnetic resonance feature images used for th...

The Forelem framework was first introduced as a means to optimize database queries using optimization techniques used by compilers. Since its introduction, Forelem has proven to be more versatile and to be applicable beyond database applications. In this paper we show that the original Forelem framework can be used to express and optimize k-means clustering, thereby yielding four automatically ...

We propose a new method combining a population-specific nonlinear template atlas approach with non-local patch-based structure segmentation for whole brain segmentation into individual structures. This way, we benefit from the efficient intensity-driven segmentation of the non-local means framework and from the global shape constraints imposed by the nonlinear template matching.

The role of the normalized modularity matrix in finding homogeneous cuts will be presented. We also discuss the testability of the structural eigenvalues and that of the subspace spanned by the corresponding eigenvectors of this matrix. In the presence of a spectral gap between the k− 1 largest absolute value eigenvalues and the remainder of the spectrum, this in turn implies the testability of...