Vector Space Clustering
Vector Space Clustering is a clustering methodology that organizes texts into groups based on their relative positions in a multidimensional vector space, where each dimension corresponds to a textual feature and similarity is measured geometrically.
74
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3.3K
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222
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106
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2017–2026
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Learning atoms for materials discovery
Quan Zhou, Peizhe Tang, Shenxiu Liu et al. · Proceedings of the National Academy of Sciences · 2018 · 198 citations · Full text
Clustering large datasets in arbitrary metric spaces
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehrke et al. · 1999 · 155 citations
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Jeonbuk National University
Jeonju, South Korea
3 h-index
6 publications
114 citations
Embry–Riddle Aeronautical University
Daytona, United States
2 h-index
2 publications
140 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
5 publications
260 citations
University of Zakho
Zakho, Iraq
2 h-index
3 publications
45 citations
Stanford University
Stanford, United States
2 h-index
5 publications
808 citations

Saarland University
Saarbrücken, Germany
2 h-index
6 publications
123 citations
Prince Sattam Bin Abdulaziz University
Al Kharj, Saudi Arabia
2 h-index
3 publications
217 citations

Communication University of China
Beijing, China
2 h-index
6 publications
123 citations
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3 publications · 136 citations
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