Adoption of Fuzzy Clustering Techniques to Determine the Genetic Characteristics of Some Dates Varieties
| Main Authors: | Nima Abdullah AL-Fakhry, Ramadan Mahmood Ramo |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5112199 |
Daftar Isi:
- Data mining analyzing amount of data to find relations among them and summarized for getting patterns like, graphical models, statistical models. and etc. These patterns are understandable and useful to their users by employing a range of automated extraction of knowledge from hideaways This Research is a step to illustrate the concept of clustering technique in both theoretical and practical aspects. The theoretical side of the research dealt with the concept of data complexity and types, as well as an explanation of the algorithm (Fcm). The practical side applied the application of the nearest neighboring algorithm to determine the extent of convergence between some date varieties from the adoption of Fructose and and Glucose in Dates . The research concluded that the Fcm algorithm are easy and fast to clarify the genotypes of date species. We use Matlab R2013a to implement the practical side. Keyword: Data mining, Clustering, Fuzzy clustering, Fuzzy C-Mean, Dates