Offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data. A suite of widely used clustering techniques is covered,...Loe edasi...
Offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data. A suite of widely used clustering techniques is covered,...Loe edasi...
Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions....Loe edasi...
Sari: Series on Advances in Mathematics for Applied Sciences
(Ilmumisaeg: 13-Jun-2007, Hardback, Kirjastus: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789812705396)
This volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes. The theory is explained starting from the beginning and in the most elementary terms, there ar...Loe edasi...
Focuses on a few of the important clustering algorithms in the context of information retrieval. There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the Wo...Loe edasi...
(Ilmumisaeg: 13-Nov-2006, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9780521852678)
Focuses on a few of the important clustering algorithms in the context of information retrieval. There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the Wo...Loe edasi...
