Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning

Keyphrases

• Clustering Algorithm 100%
• Landmarking 100%
• Meta-learning 100%
• Isolation Forest 100%
• Algorithm Recommendation 100%
• Learning Methods 50%
• Publicly Available 25%
• Performance Prediction 25%
• New Similarity Measure 25%
• Characterization Techniques 25%
• Similarity Measure 25%
• Computational Complexity 25%
• Algorithm Selection 25%
• Performance Complexity 25%
• Cluster Solutions 25%
• Benchmark Dataset 25%
• Data Clustering 25%
• AutoML 25%
• Ranking Performance 25%
• Problem Characterization 25%
• Learning to Rank 25%
• DeepFM 25%
• Data Clustering Problems 25%
• Isolation Forest Algorithm 25%

Computer Science

• Clustering Algorithm 100%
• Clustered Data 66%
• Computational Complexity 33%
• Algorithm Selection 33%
• Predictive Performance 33%
• Automated Machine Learning 33%