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Investigating size features of acute leukemia using k-nearest neighbors
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
This study investigates the size feature of acute leukemia of blood sample image by using k-NN as a classifier. K-NN is believed to be one of the simplest methods in classifying data including images. Hence, this paper ...
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 ...