Data mining with unsupervised clustering using photonic micro-ring resonators

Alastair D. McAulay

doi:10.1117/12.2028381

26 September 2013 Data mining with unsupervised clustering using photonic micro-ring resonators

Alastair D. McAulay

Proceedings Volume 8855, Optics and Photonics for Information Processing VII; 88550M (2013) https://doi.org/10.1117/12.2028381
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Data is commonly moved through optical fiber in modern data centers and may be stored optically. We propose an optical method of data mining for future data centers to enhance performance. For example, in clustering, a form of unsupervised learning, we propose that parameters corresponding to information in a database are converted from analog values to frequencies, as in the brain's neurons, where similar data will have close frequencies. We describe the Wilson-Cowan model for oscillating neurons. In optics we implement the frequencies with micro ring resonators. Due to the influence of weak coupling, a group of resonators will form clusters of similar frequencies that will indicate the desired parameters having close relations. Fewer clusters are formed as clustering proceeds, which allows the creation of a tree showing topics of importance and their relationships in the database. The tree can be used for instance to target advertising and for planning.

Citation Download Citation

Alastair D. McAulay "Data mining with unsupervised clustering using photonic micro-ring resonators", Proc. SPIE 8855, Optics and Photonics for Information Processing VII, 88550M (26 September 2013); https://doi.org/10.1117/12.2028381

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available