A Novel Clustering-Framework of Gene Expression Data Based on the Combination Between Deep Learning and Self-organizing Map.
Yan CuiHuacheng GaoRui ZhangYuanyuan LuYuan XueChun-Hou ZhengPublished in: ICIC (2) (2020)
Keyphrases
- self organizing maps
- gene expression data
- deep learning
- clustering framework
- unsupervised learning
- k means
- text clustering
- gene expression profiles
- microarray
- gene expression
- semi supervised
- microarray data
- feature selection
- clustering method
- data sets
- machine learning
- clustering algorithm
- high dimensionality
- supervised learning
- gene selection
- tumor classification
- high dimensional data
- neural network
- high dimensional
- cluster analysis
- object recognition
- dimensionality reduction
- data clustering
- expectation maximization
- text classification
- learning algorithm
- text data
- active learning
- data analysis