Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction.
Carl Martin RosenbergLeon MoonenPublished in: CoRR (2020)
Keyphrases
- dimensionality reduction
- high dimensional data
- high dimensionality
- pattern recognition and machine learning
- clustering method
- clustering algorithm
- unsupervised learning
- data points
- k means
- data representation
- high dimensional
- data clustering
- feature selection
- hierarchical clustering
- self organizing maps
- cluster analysis
- information theoretic
- principal component analysis
- feature extraction
- low dimensional
- nonlinear dimensionality reduction
- semi automated
- fully automated
- categorical data
- graph embedding
- linear discriminant analysis
- unsupervised feature selection
- principal components analysis
- structure preserving
- graph theoretic
- data mining tasks
- fuzzy clustering
- dimension reduction
- document clustering
- outlier detection
- anomaly detection
- nearest neighbor
- image processing