Download e-book for iPad: Advances in K-means Clustering: A Data Mining Thinking by Junjie Wu

By Junjie Wu

ISBN-10: 3642447570

ISBN-13: 9783642447570

Nearly we all know K-means set of rules within the fields of knowledge mining and company intelligence. however the ever-emerging info with super complex features convey new demanding situations to this "old" set of rules. This e-book addresses those demanding situations and makes novel contributions in setting up theoretical frameworks for K-means distances and K-means established consensus clustering, picking out the "dangerous" uniform impression and zero-value obstacle of K-means, adapting correct measures for cluster validity, and integrating K-means with SVMs for infrequent type research. This ebook not just enriches the clustering and optimization theories, but in addition offers sturdy advice for the sensible use of K-means, in particular for vital initiatives similar to community intrusion detection and credits fraud prediction. The thesis on which this publication relies has received the "2010 nationwide very good Doctoral Dissertation Award", the top honor for no more than a hundred PhD theses according to yr in China.

Show description

Read Online or Download Advances in K-means Clustering: A Data Mining Thinking (Springer Theses) PDF

Similar data mining books

Biological Data Mining (Chapman & Hall/CRC Data Mining and by Jake Y. Chen,Stefano Lonardi PDF

Like a data-guzzling faster engine, complicated facts mining has been powering post-genome organic stories for 2 many years. Reflecting this progress, organic information Mining offers finished info mining techniques, theories, and purposes in present organic and clinical study. each one bankruptcy is written via a exceptional workforce of interdisciplinary info mining researchers who hide state of the art organic subject matters.

Get Private Data and Public Value: Governance, Green PDF

This ebook investigates the methods inwhich those platforms can advertise public worth by way of encouraging the disclosure andreuse of privately-held info in ways in which help collective values such asenvironmental sustainability. Supported by means of investment from the nationwide ScienceFoundation, the authors' study group has been engaged on one such system,designed to augment shoppers skill to entry information regarding thesustainability of the goods that they purchase and the provision chains that producethem.

Download e-book for kindle: Integrating Hadoop by William McKnight,Jake Dolezal

Integrating Hadoop leverages the self-discipline of knowledge integration and applies it to the Hadoop open-source software program framework for storing information on clusters of commodity undefined. it's filled with the need-to-know for managers, architects, designers, and builders chargeable for populating Hadoop within the firm, permitting you to harness sizeable information and do it in this sort of approach that the solution:Complies with (and even extends) company criteria Integrates seamlessly with the prevailing info infrastructureFills a serious position inside company structure.

Get Big Data Is Not a Monolith (Information Policy) PDF

Vast information is ubiquitous yet heterogeneous. substantial information can be utilized to tally clicks and site visitors on websites, locate styles in inventory trades, song patron personal tastes, determine linguistic correlations in huge corpuses of texts. This booklet examines gigantic info no longer as an undifferentiated entire yet contextually, investigating the various demanding situations posed through monstrous info for health and wellbeing, technological know-how, legislation, trade, and politics.

Additional resources for Advances in K-means Clustering: A Data Mining Thinking (Springer Theses)

Sample text

Download PDF sample

Advances in K-means Clustering: A Data Mining Thinking (Springer Theses) by Junjie Wu

by John

Rated 4.34 of 5 – based on 13 votes