2014 PartitionalClusteringAlgorithms

• (Celebi, 2014) ⇒ M. Emre Celebi. (2014). "Partitional Clustering Algorithms"; Springer Publishing Company, Incorporated. ISBN:3319092588, 9783319092584

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• http://scholar.google.com/scholar?q=%222014%22+Partitional+Clustering+Algorithms
• http://dl.acm.org/citation.cfm?id=2695610&preflayout=flat#citedby

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Abstract

This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering. Each chapter is contributed by a leading expert in the field.

References

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• 1. Xiangru Wang, Seyednaser Nourashrafeddin, Evangelos Milios, Relaxing Orthogonality Assumption in Conceptual Text Document Similarity, Proceedings of the 2016 ACM Symposium on Document Engineering, September 13-16, 2016, Vienna, Austria
• 2. Dongxia Chang, Yao Zhao, Lian Liu, Changwen Zheng, A Dynamic Niching Clustering Algorithm based on Individual-connectedness and Its Application to Color Image Segmentation, Pattern Recognition, v.60 N.C, p.334-347, December 2016
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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 PartitionalClusteringAlgorithms	M. Emre Celebi			Partitional Clustering Algorithms						2014