Improving problem identification via automated log clustering using dimensionality reduction.
Carl Martin RosenbergLeon MoonenPublished in: ESEM (2018)
Keyphrases
- dimensionality reduction
- high dimensionality
- high dimensional data
- pattern recognition and machine learning
- clustering method
- unsupervised learning
- data points
- high dimensional
- clustering algorithm
- hierarchical clustering
- categorical data
- outlier detection
- cluster analysis
- anomaly detection
- semi automated
- feature extraction
- fully automated
- self organizing maps
- multidimensional scaling
- principal components analysis
- k means
- graph theoretic
- similarity function
- image processing
- metric learning
- principal components
- pattern recognition
- document clustering
- low dimensional
- distance metric
- neural network