Unsupervised data clustering for energy efficiency monitoring and analysis

Unsupervised data clustering for energy efficiency monitoring and analysis

For the first half of the Final Year Project, the main research focus is to improve K-Means clustering, to make the K-Means algorithms stable, efficient and auto-determine number of K. Under this research, I build a program that combines density-based clustering techniques with K-Means clustering, e...

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Bibliographic Details
Main Author: Fu, Rong
Other Authors: Li Xiang
Format: Final Year Project (FYP)
Language:English
Published: 2015
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:http://hdl.handle.net/10356/62693

Internet

http://hdl.handle.net/10356/62693

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