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Automated Detection of Acute Leukemia Using K-Means Clustering Algorithm
(North Dakota State University, 2019)
Detection of ALL can be done through the analysis of white blood cells (WBCs) called leukocytes. Usually, the analysis of blood cells is performed manually by skilled operators, have numerous drawbacks, such as slow analysis, ...
A Map Reduce Approach of K-Means++ Algorithm with Initial Equidistant Centers
(North Dakota State University, 2015)
Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the ...
Disease Similarity Using Biological Module Dysregulation Profile
(North Dakota State University, 2016)
Diseases can be grouped according to phenotypic and genotypic similarities. Gene expression and micro-RNA data paved the way to look inside the genetic coding and classify diseases accurately. Modern system biology seeks ...