The main focus of this thesis concerns the further developments in the areas of ensemble and constrained clustering. The goal of the proposed methods is to address clustering problems, in which the optimal clustering method is unknown. Additionally, by means of pairwise linkage constraints, it is possible to aggregate extra information to the clustering framework. Part I investigates the concep...

Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations. Manual identification of defected fruit is very time consuming. The proposed paper presents defect segmentation of fruits based on surface color features with unsupervised K-Means clustering and Fuzzy C-Means algorithms. As the first step, the digital color images of defec...

Part I of this paper defines the class of constructive unsupervised on-line learning simplified adaptive resonance theory (SART) clustering networks. Proposed instances of class SART are the symmetric Fuzzy ART (S-Fuzzy ART) and the Gaussian ART (GART) network. In Part II of our work, a third network belonging to class SART, termed fully self-organizing SART (FOSART), is presented and discussed...

Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has advantages over traditional clustering in many applications. Many fuzzy clustering algorithms have been developed in the literature including fuzzy c-means and possibilistic clustering algorithms, which are all objective-function based methods. Different from the existing fuzzy clustering approache...

conclusions regarding the study findings, there was a significant difference between family function dimensions and quality of life among addicts and non-addicts. results the study revealed that some disorders in family function dimensions were higher in the addicts compared to non-addicts. addicts have a quality of life lower than non-addicts (p < 0.05). there was a relationship between differ...

A new family of codes, called clustering-correcting codes , is presented in this paper. This codes motivated by the special structure data that stored DNA-based storage systems. The these systems has form unordered sequences, also xmlns:xlink="http://www.w3.org/1999/xlink">strands and every...

Part I of this paper proposes a definition of the adaptive resonance theory (ART) class of constructive unsupervised on-line learning clustering networks. Class ART generalizes several well-known clustering models, e.g., ART 1, improved ART 1, adaptive Hamming net (AHN), and Fuzzy ART, which are optimized in terms of memory storage and/or computation time. Next, the symmetric Fuzzy ART (S-Fuzzy...

The article contains a preliminary glance at balanced clustering problems. Basic balanced structures and combinatorial balanced problems are briefly described. A special attention is targeted to various balance/unbalance indices (including some new versions of the indices): by cluster cardinality, by cluster weights, by inter-cluster edge/arc weights, by cluster element structure (for element m...

OBJECTIVE Our aim was to characterize familial risks for type 2 diabetes by the type and number of affected family members, including half-siblings, adoptees, and spouses, to quantify risks and estimate the contribution of environmental effect. RESEARCH DESIGN AND METHODS Families were identified from the Multigeneration Register, and type 2 diabetic patients were obtained from the Hospital D...