Document Type

Thesis

Degree

Master of Science (MS)

Department

Electrical Engineering

First Advisor's Name

Dong C. Park

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Malcolm Heimer

Third Advisor's Name

Malek Adjouadi

Date of Defense

7-7-1994

Abstract

A clustering algorithm based on the Fuzzy c-means algorithm (FCM) and the gradient descent method is presented. In the FCM, the minimization process of the objective function is proceeded by solving two equations alternatively in an iterative fashion. Each iteration requires the use of all the data at once. In our proposed approach one datum is presented at a time to the network and the minimization is proceeded using the gradient descent method. Compared to FCM, the experimental results show that our algorithm is very competitive in terms of speed and stability of convergence for large number of data.

Identifier

FI14061586

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