The R package clValid contains functions for validating the results of a clustering analysis. There are three main types of cluster validation measures available, “internal”, “stability”, and “biological”. The user can choose from nine clustering algorithms in existing R packages, including hierarchical, K-means, self-organizing maps (SOM), and model based clustering. In addition, we provide a ...

This study proposes new developmental stages for Callithrix jacchus, using K-Means algorithm and an artificial neural network-self-organising maps (SOM) as computational tools, based on weight and age. Eight developmental stages are proposed: Infant I, II and III, Juvenile I and II, Sub adult, Young adult and Older adult. This classification is consistent with the first appearance of several be...

Background and Objectives: Self-confidence, referring to relying on and exploiting individual abilities and talents for realizing spiritual and material prosperity, not only contradicts but is in agreement with and a prerequisite for faith in God. Practically, the greater faith in God one has, the more potent self-confidence he /she possess. Investigating the subject of self-confidence from the...

introduction: the diseases and problems due to ageing can affect the quality of life (qol) in the elderly. the aim of this study was to compare the effects of self-care program education run by health volunteers and healthcare staff on the qol in the elderly. methods: in this experimental, field trial study, 150 elderly people living in mashhad were enrolled by multistage sampling in 2014. the ...

background the improvement of self-caring and self-efficacy behaviors is vital in the successful management of asthma. objectives the aim of the research is to determine the relation between self-efficacy of asthma control and quality of life in iranian asthmatic patients. patients and methods this research represents a descriptive-analytical study. the 257 asthmatic patients referred to the cl...

Clustering genes into biological meaningful groups according to their pattern of expression is a main technique of microarray data analysis, based on the assumption that similarity in gene expression implies some form of regulatory or functional similarity. We give an overview of various clustering techniques, including conventional clustering methods (such as hierarchical clustering, k-means c...

We do research on moving object classification in traffic video. Our aim is to classify the moving objects into pedestrians, bicycles and vehicles. Due to the advantage of self-organizing feature map (SOM), an unsupervised learning algorithm, which is simple and self organization, and the common usage of K-means clustering method, this paper combines SOM with K-means to do classification of mov...

Article history: Available online 30 August 2011

Kohonen’s self-organizing map (SOM) network is an unsupervised learning neural network that maps an n-dimensional input data to a lower dimensional output map while maintaining the original topological relations. The extended SOM network further groups the nodes on the output map into a user specified number of clusters. In this research effort, we applied this extended version of SOM networks ...