Using mutual information clustering to discover food allergen cross-reactivity.

Kenneth H. Lai Suzanne V. Blackley Li Zhou

Published in: BIBM (2017)

Keyphrases

mutual information
information theoretic
clustering method
clustering algorithm
similarity measure
image registration
normalized mutual information
medical image registration
information gain

k means
information theoretic measures
hierarchical clustering
categorical data
criterion function
cluster analysis
information theory
kullback leibler divergence
data clustering

statistical dependence
self organizing maps
high dimensional
computer vision
outlier detection
spectral clustering
data points
density estimation

image segmentation
graph theoretic
image processing
feature selection
density based clustering
learning algorithm
data mining
neural network