Online social networking streams have become an essential part of people’s life where people share their views, ideas, and almost all the events happening all around the globe are first reported on these microbloggin...
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The minimum spanning tree clustering algorithm is known to be capable of detecting clusters with irregular boundaries. In this paper, we propose two minimum spanning tree based clustering algorithms. The first algorit...
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In this paper, we give a short review of recent developments in clustering. We shortly summarize important clustering paradigms before addressing important topics including metric adaptation in clustering, dealing wit...
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clustering high-dimensional data spaces are often encountered in areas such as medicine, DNA analysis in computational biology and many others. It imposes on a data analysis severe computational requirements and prese...
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ISBN:
(纸本)9781450332163
clustering high-dimensional data spaces are often encountered in areas such as medicine, DNA analysis in computational biology and many others. It imposes on a data analysis severe computational requirements and present real challenges to clustering algorithms. This paper evaluates the performance efficiency of K-means and Agglomerative hierarchical clustering methods based on Euclidean and Manhattan distance functions for high dimensional data. Efficiency concerns the computational time required to build up datasets. Extensive experiments carried out to evaluate two clustering methods on Microarray datasets. The results demonstrate that Agglomerative hierarchical clustering algorithm is efficient in time for both distance functions than K-means clustering algorithm.
An improved artificial fish swarm algorithm (IAFSA) is proposed, and its complexity is much less than the original algorithm (AFSA) because of a new proposed fish behavior. Based on IAFSA, two novel algorithms for dat...
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Text clustering is a popular research topic in the field of text mining, and now there are a lot of text clustering methods catering to different application requirements. Currently, Weibo data acquisition is through ...
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Minimum spanning tree (MST) based clustering algorithms have been employed successfully to detect clusters of heterogeneous nature. Given a dataset of n random points, most of the MST-based clustering algorithms first...
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To systematically explore the research hotspots and frontier trends in the field of data mining then domestic county medical community, and to provide data reference for future in-depth research in this field. Co-occu...
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In competitive electricity markets, the distribution service providers have been given new degrees of freedom in formulating dedicated tariff offers to be applied to properly defined customer classes. For this purpose...
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Software size and complexity in all kinds of domains increase rapidly in recent times, making software maintenance and reusability increasingly difficult. Analysis of existing software and subsequent re-modularization...
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