Friday 10 December 2010

Clustering

Clustering
Author: Boris Mirkin
Edition: 2
Binding: Hardcover
ISBN: 1439838410



Clustering: A Data Recovery Approach, Second Edition (Chapman & Hall/CRC Computer Science & Data Analysis)


Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Download Clustering: A Data Recovery Approach, Second Edition (Chapman & Hall/CRC Computer Science & Data Analysis) from rapidshare, mediafire, 4shared. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant interpretation aids. Other approaches, such as spectral clustering or consensus clustering, are considered absolutely unrelated to each other or to the two above mentioned methods. Clustering: A Data Recovery Approach, Second Edition presents a unified modeling approach for the most popular clustering methods: the K-M Search and find a lot of computer books in many category availabe for free download.

download

Clustering Free


Clustering computer books for free. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant interpretation aids Clustering: A Data Recovery Approach, Second Edition presents a unified modeling approach for the most popular clustering methods: the K-M

Related education books


Clustering (IEEE Press Series on Computational Intelligence)


This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; ke

Cluster Analysis (Wiley Series in Probability and Statistics)


Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition


The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and

Longitudinal Data Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)


Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudina

No comments:

Post a Comment