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Principle component analysis (PCA) based coin-counting system
(Universiti Malaysia Perlis (UniMAP), 2010-06-02)
In this paper, a neural network using a feature extraction scheme known as principle component analysis (PCA) is proposed to recognize two-dimensional objects in an image. This approach consists of two stages. First, the ...
Kernel-Induced Bubble Agglomeration Algorithm for unsupervised classification: An improved clustering methodology without prior information
(Universiti Malaysia Perlis (UniMAP), 2010-06-02)
This paper introduces an improved unsupervised clustering
algorithm, named Kernel-Induced Bubble Agglomeration.
In this paper, the conventional Bubble Agglomeration
algorithm is extended by calculating the Euclidean ...