Corpus ID: 212588263

Evaluating and Analyzing Clusters in Data Mining using Different Algorithms

@inproceedings{Chowdary2014EvaluatingAA,
  title={Evaluating and Analyzing Clusters in Data Mining using Different Algorithms},
  author={N. Chowdary and D. Prasanna and P. Sudhakar},
  year={2014}
}
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics. 
2 Citations
Deep learning-based clustering approaches for bioinformatics
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References

SHOWING 1-9 OF 9 REFERENCES
Grid-clustering: an efficient hierarchical clustering method for very large data sets
  • E. Schikuta
  • Computer Science
  • Proceedings of 13th International Conference on Pattern Recognition
  • 1996
  • 163
Clustering by pattern similarity in large data sets
  • 550
  • PDF
Spatial clustering in the presence of obstacles
  • 198
  • PDF
Constraint-based clustering in large databases
  • 177
  • PDF
Cluster Analysis: Correlation Profile and Orthometric (factor) Analysis for the Isolation of Unities in Mind and Personality
  • 1939
CSE) from Gokul Institute of Technology and Sciences
  • He has published papers in Journals, Guided students in projects in fulfillment of B.Tech. His area of Interest includes Networking and soft computing and other advances in computer Applications
JNTU Kakinada is working as an Assistant Professor in Department of C.S.E, Sri Sarathi Institute of Engineering and Technology
  • She has published papers in Journals, Guided students in projects in fulfillment of B.Tech. His area of Interest includes Data Mining and Networks, and other advances in computer Applications