On Certain Patterns of Self Help Group Data: Using Clustering Approach - Tapa blanda

Sajeev, B.U.

 
9783659556456: On Certain Patterns of Self Help Group Data: Using Clustering Approach
Tapa blanda
ISBN 10: 3659556459 ISBN 13: 9783659556456
Editorial: LAP LAMBERT Academic Publishing, 2014

Sinopsis

Databases are growing in size to a stage where traditional techniques for analysis and visualization of the data are breaking down. In this book, knowledge of cluster analysis is applied to a socially relevant problem in India – Self Help Group (SHG). SHG has emerged as one of the most important models of socioeconomic development endeavours, particularly those aimed at women’s empowerment, livelihoods strengthening and poverty alleviation. Cluster analysis is used to evaluate the performance of SHG groups. K-Means and Fuzzy C-Means algorithms are used to evaluate the financial status, socioeconomic, loan pattern and financial inclusion of SHG members. New algorithms namely Modified K-Means, Modified Fuzzy C-Means and Hybrid of K-Means and Fuzzy C-Means is used to evaluate various parameters of SHG data. These algorithms are also used to study the impact analysis of financial inclusion through SHG bank linkage. Cluster analysis is found to be very efficient, easy and reliable tool than statistical methods in data analysis.

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Reseña del editor

Databases are growing in size to a stage where traditional techniques for analysis and visualization of the data are breaking down. In this book, knowledge of cluster analysis is applied to a socially relevant problem in India - Self Help Group (SHG). SHG has emerged as one of the most important models of socioeconomic development endeavours, particularly those aimed at women's empowerment, livelihoods strengthening and poverty alleviation. Cluster analysis is used to evaluate the performance of SHG groups. K-Means and Fuzzy C-Means algorithms are used to evaluate the financial status, socioeconomic, loan pattern and financial inclusion of SHG members. New algorithms namely Modified K-Means, Modified Fuzzy C-Means and Hybrid of K-Means and Fuzzy C-Means is used to evaluate various parameters of SHG data. These algorithms are also used to study the impact analysis of financial inclusion through SHG bank linkage. Cluster analysis is found to be very efficient, easy and reliable tool than statistical methods in data analysis.

Biografía del autor

Dr.Sajeev B.U,MSc,MCA,M.Tech(CS),Ph.D with 25 years of experience in teaching and research. He is the receipient of Bharat Ratna Jawaharlal Nehru Gold Medal award instituted by [GEPRA],Chennai, for his outstanding service, achievement and contribution to education and research.His area of research include datamining, Fuzzy logics, Image processing

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3659556459
ISBN 13 
9783659556456
Encuadernación
Tapa blanda
Número de páginas
168
Contacto del fabricante
no disponible
Persona responsable
no disponible