Browsing by Subject "Cluster analysis."

Now showing items 1-4 of 4

    • Automated Detection of Acute Leukemia Using K-Means Clustering Algorithm 

      Arya, Minakshi (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, ...

    • Clustering Algorithm Comparison for Ellipsoidal Data 

      Loeffler, Shane Robert (North Dakota State University, 2015)
      The main objective of cluster analysis is the statistical technique of identifying data points and assigning them into meaningful clusters. The purpose of this paper is to compare different types of clustering algorithms ...

    • Disease Similarity Using Biological Module Dysregulation Profile 

      Zaman, Eshita (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 ...

    • A Map Reduce Approach of K-Means++ Algorithm with Initial Equidistant Centers 

      Bhattacharyya, Krittika (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 ...