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A comprehensive survey on deep clustering: Taxonomy, challenges, and future directions
Clustering is a fundamental machine learning task, which aim at assigning instances into
groups so that similar samples belong to the same cluster while dissimilar samples belong …
groups so that similar samples belong to the same cluster while dissimilar samples belong …
Tourism information technology research trends: 1990-2016
Purpose The advancement of data analysis tools makes analyzing a huge amount of
literature possible. This paper aims to identify tourism information technology research …
literature possible. This paper aims to identify tourism information technology research …
[HTML][HTML] A semantic approach for text clustering using WordNet and lexical chains
T Wei, Y Lu, H Chang, Q Zhou, X Bao - Expert Systems with applications, 2015 - Elsevier
Traditional clustering algorithms do not consider the semantic relationships among words so
that cannot accurately represent the meaning of documents. To overcome this problem …
that cannot accurately represent the meaning of documents. To overcome this problem …
[PDF][PDF] The clustering validity with silhouette and sum of squared errors
T Thinsungnoena, N Kaoungkub… - …, 2015 - pdfs.semanticscholar.org
The data clustering with automatic program such as k-means has been a popular technique
widely used in many general applications. Two interesting sub-activity of clustering process …
widely used in many general applications. Two interesting sub-activity of clustering process …
Document clustering method using dimension reduction and support vector clustering to overcome sparseness
S Jun, SS Park, DS Jang - Expert Systems with Applications, 2014 - Elsevier
Many studies on develo** technologies have been published as articles, papers, or
patents. We use and analyze these documents to find scientific and technological trends. In …
patents. We use and analyze these documents to find scientific and technological trends. In …
Tourism research from its inception to present day: subject area, geography, and gender distributions
This paper uses text data mining to identify long-term developments in tourism academic
research from the perspectives of thematic focus, geography, and gender of tourism …
research from the perspectives of thematic focus, geography, and gender of tourism …
A clustering technique for news articles using WordNet
The Web is overcrowded with news articles, an overwhelming information source both with
its amount and diversity. Document clustering is a powerful technique that has been widely …
its amount and diversity. Document clustering is a powerful technique that has been widely …
Modeling law search as prediction
Law search is fundamental to legal reasoning and its articulation is an important challenge
and open problem in the ongoing efforts to investigate legal reasoning as a formal process …
and open problem in the ongoing efforts to investigate legal reasoning as a formal process …
Revealing the nature of contemporary tourism research: Extracting common subject areas through bibliographic coupling
This study aims at identifying recent subject areas and citation patterns of tourism research
by applying a bibliometric tool to analyze over 2000 publications since 2008 from 10 tourism …
by applying a bibliometric tool to analyze over 2000 publications since 2008 from 10 tourism …
The relationship and development trend of corporate social responsibility (CSR) literature: Utilizing bibliographic coupling analysis and social network analysis
Purpose The purpose of this paper is to provide a comprehensive view of the longitudinal
status and the knowledge structure of the CSR research by identifying the major study …
status and the knowledge structure of the CSR research by identifying the major study …