An Adaptive Approach for Clustering Incomplete Data Sets

An Adaptive Approach for Clustering Incomplete Data Sets

An Application To Health Inequality Analysis

LAP Lambert Academic Publishing ( 15.03.2010 )

€ 68,00

Купить в магазине MoreBooks!

The health inequality structure needs to be revealed in order to allow policy makers both globally and locally to find out how health can be promoted using limited resources available to the poor countries of the world. Therefore, the aim of this book is to produce a new algorithm for health inequality analysis that overcomes limitations of the current algorithms used. This algorithm can generally be used to analyse cluster structure within small, sparse and incomplete data sets. The proposed algorithm automatically determines the number of clusters based on well-defined theoretical bases, and also it quantifies relative contribution of individual health indicators to the creation of health inequality structure. This book is intended to be useful for numerical data analysts especially health inequality analysts. Also, it is useful for any one interested in revealing cluster structure within an incomplete data set.

Детали книги:

ISBN-13:

978-3-8383-0579-0

ISBN-10:

3838305795

EAN:

9783838305790

Язык книги:

English

By (author) :

Ahmed Rafat

Количество страниц:

192

Опубликовано:

15.03.2010

Категория:

Информатика