
Title

An Adaptive Approach for Clustering Incomplete Data Sets: An Application To Health Inequality Analysis,Used
Delivery time: 8-12 business days (International)
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 welldefined 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.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.