Techniques of Cluster Algorithms in Data Mining

By Johannes Grabmeier, Andreas Rudolph. Data mining and knowledge discovery, 2002

301 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/c921555a79650d5fa908dc4fe71f8d4e22d6c126

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ramiz M. Aliguliyev
2. Mahak Gambhir
3. Vishal Gupta

In Computer Vision and Pattern Recognition

1. Ramiz M. Aliguliyev

In Information Systems

1. Ramiz M. Aliguliyev

Citations in the corpus

• Evaluation of clustering algorithms for financial risk analysis using MCDM methods (2014, unknown): “mining and knowledge discovery [28,32,55,66].”
• A new sentence similarity measure and sentence based extractive technique for automatic text summarization (2009, background): “The automatic clustering problem can be defined as follows (Das, Abraham, & Konar, 2008; Grabmeier & Rudolph , 2002; Han & Kamber, 2006; Jain et al., 1999; Omran et al., 2007) : The set of sentences D = (S 1 ,S 2 ,. .”
• A personalized search engine based on Web‐snippet hierarchical clustering (2005, unknown): “It may be considered”