Clustering and Image Segmentation - Shovon, Md. Hedayetul Islam
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Clustering can be considered the most important unsupervised learning problem. In briefly,the process of organizing objects into groups whose members are similar in some way. This book presents an overview of existing clustering algorithms with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.Determining the number of cluster is a running burning question for clustering. I tried to propose a method for clustering validation. I present taxonomy of clustering techniques, and identify crosscutting themes and…mehr

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Produktbeschreibung
Clustering can be considered the most important unsupervised learning problem. In briefly,the process of organizing objects into groups whose members are similar in some way. This book presents an overview of existing clustering algorithms with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.Determining the number of cluster is a running burning question for clustering. I tried to propose a method for clustering validation. I present taxonomy of clustering techniques, and identify crosscutting themes and recent advances. I also describe a big famous field of application of clustering- Image segmentation.
Autorenporträt
Md.Hedayetul Islam Shovon completed his B.Sc Engineering Course in Computer Science & Engineering from Rajshahi University of Engineering & Technology in May 2009.He joined as a lecturer in the same university in October 2010.Since then he involved in different research oriented activities.His research interest are Data Clustering,Image Processing.