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Exploring ant-based algorithms for gene expression data analysis
Yulan He, Siu C. Hui
Computer Science Research Group
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peer-review
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Keyphrases
Gene Expression Analysis
100%
Ant-based
100%
Ant-based Algorithm
100%
Ant-based Clustering
100%
Associative Classification
100%
Classification Rules
66%
Ant Colony Optimization
66%
Acute Myeloid Leukemia
66%
Leukemia Data
66%
Acute Lymphoblastic Leukemia
66%
Association Rule Mining
66%
Adaptation
33%
K-means
33%
Self-organization
33%
Clustering Methods
33%
Association Rules
33%
Nature-inspired Algorithms
33%
Machine Learning Tasks
33%
Cluster Classification
33%
Swarm Intelligence
33%
Magnum Opus
33%
Collective Foraging
33%
Agglomerative Hierarchical Clustering
33%
Natural Behavior
33%
Association Rule Mining Algorithm
33%
Rapid Search
33%
Gene Expression Data Clustering
33%
Complex Machines
33%
Resource Database
33%
Foraging Behavior
33%
Genomic Resources
33%
Optimal number of Clusters
33%
FP-Growth
33%
Computer Science
Gene Expression Data
100%
Association Rules
100%
Associative Classification
75%
Classification Rule
50%
Ant Colony Optimization
50%
Machine Learning
25%
Learning System
25%
Good Candidate
25%
Hierarchical Clustering
25%
Candidate Solution
25%
Inspired Algorithm
25%
Clustering Method
25%
Swarm Intelligence
25%
Clustered Data
25%
Engineering
Classification Rule
100%
Ant Colony Optimization
100%
Learning System
50%
Learning Task
50%
Periodic Time
50%
Inspired Algorithm
50%
Self-Organization
50%
Hierarchical Clustering
50%
Candidate Solution
50%
Swarm Intelligence
50%