Na Shi

2010 Third International Symposium on Intelligent Information Technology and Security Informatics · 2010

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Na Shi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. K. A. Abdul Nazeer

Who trusts Na Shi overall

1. Ji-chao Li
2. Li Yang
3. Abdallah Moubayed
4. Xiaosong Du

Papers from Na Shi's perspective

Ordered by how strongly the researchers Na Shi trusts endorse each paper. Same corpus, a different order for every researcher.

1. UCI Repository of machine learning databases
2. Improving the Accuracy and Efficiency of the k-means Clustering Algorithm
3. Data Mining - Concepts and Techniques (Künstliche Intell.)
4. Some methods for classification and analysis of multivariate observations
5. BIRCH: an efficient data clustering method for very large databases
6. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
7. An efficient enhanced k-means clustering algorithm
8. Least squares quantization in PCM
9. K-modes Clustering (Journal of Classification)
10. Algorithms for Clustering Data

Their papers

• Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm (2010) — 775 citations