jacob各种版本汇集下载

weixin_39821526 2019-07-14 02:00:24

最新最全jacob，包括jacob-1.14.zip、jacob_1.9_src.zip、jacob-1.15-M3.zip、jacob-1.15-M4.zip、jacobSrc_17.zip
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最新最全jacob，包括jacob-1.14.zip、jacob_1.9_src.zip、jacob-1.15-M3.zip、jacob-1.15-M4.zip、jacobSrc_17.zip

Preface Clustering is a fundamental problem that has numerous applications in many disciplines. Clustering techniques are used to discover natural groups in datasets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. They have been used in various areas including bioinformatics, computer vision, data mining, gene expression analysis, text mining, VLSI design, and Web page clustering to name just a few. Numerous recent contributions to this research area are scattered in a variety of publications in multiple research fields. This volume collects contributions of computers scientists, data miners, applied mathematicians, and statisticians from academia and industry. It covers a number of important topics and provides about 500 references relevant to current clustering research (we plan to make this reference list available on the Web). We hope the volume will be useful for anyone willing to learn about or contribute to clustering research. The editors would like to express gratitude to the authors for making their research available for the volume. Without these individuals’ help and cooperation this book would not be possible. Thanks also go to Ralf Gerstner of Springer for his patience and assistance, and for the timely production of this book. We would like to acknowledge the support of the United States– Israel Binational Science Foundation through the grant BSF No. 2002-010, and the support of the Fulbright Program.

Apress.The.Biml.Book.Business.Intelligence.and.Data.Warehouse.Automation.1484231341.pdf

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