Cluster Analysis Using Probability

The book 'Cluster Analysis with Probability: Theory and Practice' is one of the recent surveys in the area of Cluster Analysis. The authors exploited their practical involvement in the analysis of data sets on multivariate problems to develop a novel technique that can be easily used when faced with a large volume of data in which the understanding and management of the data becomes a herculean task as a result of a large number of variables involved. The mathematics of the techniques of cluster in use hitherto are generally simple but time consuming. This book explores and demystifies most of the existing techniques and provides a less time consuming alternative technique for practitioners of Cluster Analysis. The examples in this book were drawn from many fields of human endeavour in order to illustrate the power of the developed technique in all fields whenever many variables are involved. This book was brought to this standard by the interaction of the authors with the Lovers and Practitioners of cluster analysis around the world and it is expected that this book will cause wider embrace of Cluster Analysis around the world in the nearest future.

Autorentext

Mr. Nnamani obtained a first degree(B.Sc.) in Maths and Statistics from the University of Port Harcourt (Nigeria). He proceeded to Ahmadu Bello University (ABU) Zaria (Nigeria) from where he obtained an M.Sc. in Statistics, specialising in Multivariate Analysis. He has worked as a Class Teacher. He is currently Teaching and Researching at ABU Zaria

Klappentext

The book 'Cluster Analysis with Probability: Theory and Practice' is one of the recent surveys in the area of Cluster Analysis. The authors exploited their practical involvement in the analysis of data sets on multivariate problems to develop a novel technique that can be easily used when faced with a large volume of data in which the understanding and management of the data becomes a herculean task as a result of a large number of variables involved. The mathematics of the techniques of cluster in use hitherto are generally simple but time consuming. This book explores and demystifies most of the existing techniques and provides a less time consuming alternative technique for practitioners of Cluster Analysis. The examples in this book were drawn from many fields of human endeavour in order to illustrate the power of the developed technique in all fields whenever many variables are involved. This book was brought to this standard by the interaction of the authors with the Lovers and Practitioners of cluster analysis around the world and it is expected that this book will cause wider embrace of Cluster Analysis around the world in the nearest future.