Paths of Wellbeing on Self-Organizing Maps
نویسندگان
چکیده
In this article, we introduce the concept of pathways of wellbeing and examine how such paths can be discovered from large data sets using the self-organizing map. Data sets used in the illustrative experiments include measurements of physical fitness and subjective assessments related to diagnosing work stress.
منابع مشابه
Green Product Consumers Segmentation Using Self-Organizing Maps in Iran
This study aims to segment the market based on demographical, psychological, and behavioral variables, and seeks to investigate their relationship with green consumer behavior. In this research, self-organizing maps are used to segment and to determine the features of green consumer behavior. This was a survey type of research study in which eight variables were selected from the demographical,...
متن کاملMediating Role of Perceived Academic Stress in Relationships of Self-Compassion and Self-Regulation with Academic Wellbeing in Female Students
Background and Purpose: Stress, academic failure, and low academic achievement of learners are among the major problems in their academic lives and the education system of each country. The present study aimed to investigate the mediating role of perceived academic stress in relationships of self-compassion and self-regulation with academic wellbeing in female students in Kermanshah (Iran). Ma...
متن کاملSteel Consumption Forecasting Using Nonlinear Pattern Recognition Model Based on Self-Organizing Maps
Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...
متن کاملCareer-Path Analysis Using Optimal Matching and Self-Organizing Maps
This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distances well adapted to the data, but are limiting their analysis to hierarchical clustering. Other authors apply sophisticated methods, but only after paying the price of transforming the categorical data into continuous, via a fact...
متن کاملLandforms identification using neural network-self organizing map and SRTM data
During an 11 days mission in February 2000 the Shuttle Radar Topography Mission (SRTM) collected data over 80% of the Earth's land surface, for all areas between 60 degrees N and 56 degrees S latitude. Since SRTM data became available, many studies utilized them for application in topography and morphometric landscape analysis. Exploiting SRTM data for recognition and extraction of topographic ...
متن کامل