Earticle

초록

영어

Data mining technology is a powerful tool to solve the problem. It is widely used to identify potentially useful information. Fuzzy principle based fuzzy C- means is a modification of commonly used C- means clustering technique. In the paper, a modified fuzzy C-means algorithm is used in the gene sequence. The modification is through taking a pseudo F statistics into the method. In the simulation, we use nodes instead of gene to verify the validity. According to the simulation, we get the optimal cluster number, the structure of the classification of the nodes. In order to test the performance of the algorithm, it has been used to process large amount of data, and results show that it has higher processing speed and stable performance. The algorithm can be used in the gene description.

목차

Abstract
 1. Introduction
 2. Data Mining
  2.1 Main Methods
  2.2 The Basic Process of Data Mining
 3. Clustering Algorithm
 4. Modified Clustering Algorithm
  4.1 Discriminant Function
  4.2 Clustering Algorithm
 5. Analysis of Simulation Results
 6. Conclusions
 References

키워드

저자

• Yang Zaihua [ College of technology, Xi'an International University, 710077, Xi’an Shaanxi China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605