Csaba Legány
Artificial Intelligence · 2006
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Csaba Legány trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Csaba Legány's perspective
Ordered by how strongly the researchers Csaba Legány trusts endorse each paper. Same corpus, a different order for every researcher.
- Data clustering: a review
- A Cluster Separation Measure
- Quality Scheme Assessment in the Clustering Process (European Conference on Principles of Data Mining and Knowledge Discovery)
- Cluster validity methods: part I (SGMD)
- Some methods for classification and analysis of multivariate observations
- BIRCH: an efficient data clustering method for very large databases
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
- Data Mining: Concepts and Techniques
- Advances in Knowledge Discovery and Data Mining
- Optimization by Simulated Annealing
Their papers
- Cluster validity measurement techniques (2006) — 308 citations