Downloads: 104 | Views: 111
Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014
Performance Comparison of Hard and Fuzzy Clustering Algorithms on ESTs of Human Genes
Abhilasha Chaudhuri | Asha Ambhaikar 
Abstract: In biological data analysis sequences discovered in laboratory experiments are not properly identified. Biologists attempt to group genes based on the temporal pattern of their expression levels. Clustering algorithms could provide a structure to the data. Hard clustering methods such as K-means or Hierarchical clustering assign each gene to a single cluster; whereas in fuzzy clustering methods a gene possesses varying degrees of membership with more than one cluster. Performances of both type of clustering algorithms are analyzed in this paper.
Keywords: Hard clustering, K-means clustering, Hierarchical clustering, Fuzzy clustering, EST, Fuzzy C-means Clustering
Edition: Volume 3 Issue 6, June 2014,
Pages: 1634 - 1638
Similar Articles with Keyword 'Hierarchical clustering'
Comparative Studies, Computer Science & Engineering, India, Volume 6 Issue 2, February 2017Pages: 2147 - 2150
A Comparative Study of Algorithms used for Detection and Classification of Plant Diseases
Roshni C.R | Dr. M. Safish Mary
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015Pages: 3001 - 3006
A Fuzzy Based Approach of Energy Efficient Hierarchical Clustering Method in Wireless Sensor Networks
G S M Vamsi | Neha Choubey