Substantial value is added by transferring Pearson correlation into the framework of adaptive similarity measures and by exploiting properties of the mathematical derivatives. This opens access to optimization-based data models applicable in tasks of attribute characterization, clustering, classification, and ...
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Then, the job is divided into clusters based on the similarity-based clustering approach. Finally, the cache concept is introduced with the optimum cache replacement algorithm to avoid repeated execution of the jobs by queue management. The proposed approach is compared with the existing Spark and ...
A new technique namely cosine similarity based clustering approach is used to group the test cases based on the similarity values to form clusters. Each cluster is distributed in the distributed environment for parallel execution in order to reduce the computation time and to improve the rate of ...
Matching Similarity for Keyword-Based Clustering Mohammad Rezaei and Pasi Fränti University of Eastern Finland {rezaei,franti}@cs.uef.fi Abstract. Semantic clustering of objects such as documents, web sites and movies based on their keywords is a challenging problem. This requires a simi- l...
Similarity-Based Clustering 电子书 读后感 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 类似图书 点击查看全场最低价 出版者:作者:Hammer, Barbara 编出品人:页数:201译者:出版时间:价格:$ 73.39装帧:isbn号码:9783642018046丛书系列:图书标签: Similarity...
Three-way clustering uses core region and fringe region to describe a cluster, which divide the dataset into three parts. The division helps identify the central core and outer sparse regions of a cluster. One of the main challenges in three-way clustering is the meaningful construction of the...
相似度与聚类分析结果表明,不同产地当归在10月份时挥发性成分组成及相对含量具有良好的相似性;同一产地不同采收期当归药用部位挥发性成分的组成及相对含量变幅较大。4) intra-cluster similarity 类内相似度 1. Based on intra-cluster similarity and inter-cluster similarity,this paper proposes a clustering qualit...
Vehicular Ad-hoc Network (VANET) has been widely discussed and many issues have been identified these years. Due to VANET's rapid change of structure and unstable properties, many studies proposed to use clustering architecture to improve network performance. However, most of the cluster architecture...
Similarity-based clustering of sequences using hidden Markov models Hidden Markov models (HMM) are a widely used tool for sequence modelling. In the sequence classification case, the standard approach consists of training o... M Bicego,V Murino,MAT Figueiredo - 《Pattern Recognition》 被引量: ...