TY  - JOUR
T1  - Construct Self-Similarity Matrix Based on Fractal Method
AU - Hadi, Israa AU - Miften, Firas Sabar 
JO  - Research Journal of Applied Sciences
VL  - 11
IS  - 12
SP  - 1436
EP  - 1439
PY  - 2016
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2016.1436.1439
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2016.1436.1439
KW  - fractal dimension
KW  -self-similarity
KW  -Fractal
KW  -PIFS
KW  -experimental
AB  - Self-similarity is that property of being invariant with different scale. The most of the researches used fractal dimension to calculate the self-similarity. In this study, we present a new algorithm, based on matching rang and domain fractal to find self-similarity properties of the data sets which can be used in data mining such as clustering and classification. This research focuses on two main points. Firstly, ranges and domains matching technique is used to extract self-similarity features from the images. Secondly, using self-similarity features to building the self-similarity matrix. The experimental results show that the images from same class are grouped to gather.
ER  -