Browsing by Subject "Data classification"
Now showing items 1-2 of 2
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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)Institut Matematik Kejuruteraan, 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 ...