4 results for “Hierarchical Agglomerative Clustering”

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Research ArticleOpen accessPhrase in the titleMultiview Hierarchical Agglomerative Clustering for Identification of Development Gap and Regional Potential SectorTb Ai Munandar, Azhari, Aina Musdholifah, Lincolin ArsyadThe identification of regional development gaps is an effort to see how far the development conducted in every District in a Province. By seeing the gaps occurred, it is expected that the Policymakers are able to determine which region that will be prioritized for future development. Along with the regional gaps, the identification in Gross Regional Domestic Product (GRDP) sector … …Journal of Computer Science, Vol. 14, Issue 1 · 15 Jan 2018 · 7,876 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleIntegrating Correlation Clustering and Agglomerative Hierarchical Clustering for Holistic Schema MatchingBasel Alshaikhdeeb, Kamsuriah AhmadHolistic schema matching is the process of carrying off several number of schemas as an input and outputs the correspondences among them. Treating large number of schemas may consume longer time with poor quality. Therefore, several clustering approaches have been proposed in order to reduce the search space by partitioning the data into smaller portions which can facilitate the matching … …Journal of Computer Science, Vol. 11, Issue 3 · 3 Apr 2015 · 6,389 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsOptimizing Clusters Alignment for Bilingual Malay-English CorporaRayner Alfred, Chan Chen Jie, Ng Zhen Wei et al.Bilingual corpora, containing the same documents in two different languages, are becoming an essential resource for natural language processing. Clustering bilingual corpora provides us with an insight into the differences between languages when term frequency-based Information Retrieval (IR) tools are used. It also allows one to use the Natural Language Processing (NLP) and IR tools in one language to implement … …Journal of Computer Science, Vol. 8, Issue 12 · 26 Nov 2012 · 7,144 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHybrid Ant-Based Clustering Algorithm with Cluster Analysis TechniquesWafa’a Omar, Amr Badr, Abd El-Fattah HegazyCluster analysis is a data mining technology designed to derive a good understanding of data to solve clustering problems by extracting useful information from a large volume of mixed data elements. Recently, researchers have aimed to derive clustering algorithms from nature’s swarm behaviors. Ant-based clustering is an approach inspired by the natural clustering and sorting behavior of ant colonies. In … …Journal of Computer Science, Vol. 9, Issue 6 · 7 Jun 2013 · 7,306 accessesView PDF Cite