Back to Results
First PageMeta Content
Computer cluster / K-medoids / Medoid / K-means clustering / Statistics / Cluster analysis / Consensus clustering


0 AutoLCA: A Framework for Sustainable Redesign and Assessment of Products M. SHAHRIAR HOSSAIN, University of Texas at El Paso MANISH MARWAH, HP Labs AMIP SHAH, HP Labs
Add to Reading List

Document Date: 2013-07-17 06:41:56


Open Document

File Size: 1,13 MB

Share Result on Facebook

City

New York / /

Company

E. / ACM Inc. / HP Labs / Google / /

Country

United States / /

Currency

USD / /

/

Event

Environmental Issue / Reorganization / /

Facility

Penn Plaza / University of Texas / /

/

IndustryTerm

greenhouse gas emissions / sustainable products / given product / iterative k-medoids clustering algorithm / transportation / constrained optimization algorithms / iterative clustering algorithm / k-medoids clustering algorithm / applied data mining techniques / neighbor search / k-medoids algorithm / energy use / manufacturing / social networks / data mining algorithms / sustainable product / equivalent energy / energy / /

Organization

Unit of Time Voltage Current Power Units / Virginia Tech / Department of Computer Science / Institute for Critical Technology and Applied Science / Unit of Capacitance Resistance Inductance Frequency Units / US National Science Foundation / mhz Unit of Time Voltage Current Power Units / University of Texas at El Paso / /

Person

Layne T. Watson / Naren Ramakrishnan / M. Shahriar Hossain / Amip Shah / MANISH MARWAH / SHAHRIAR HOSSAIN / /

/

Position

Author / designer / Database Applications General / representative / /

ProvinceOrState

Texas / New York / /

Technology

corresponding Algorithm / specific algorithm / laser / k-medoids clustering algorithm / iterative k-medoids clustering algorithm / constrained optimization algorithms / data mining algorithms / data mining / iterative clustering algorithm / k-medoids algorithm / integrated circuit / /

URL

http /

SocialTag