572 search results - page 17 / 115 » Winnowing-based text clustering |
DBISP2P
2008
Springer
13 years 9 months ago
2008
Springer
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
ECAI
2010
Springer
13 years 8 months ago
2010
Springer
Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits the power of pair-wise similarities between data points ...
ICDE
2007
IEEE
14 years 2 months ago
2007
IEEE
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
ICDAR
2011
IEEE
12 years 7 months ago
2011
IEEE
—Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Text documents have sparse data spaces, and nearest neighbors may belong to different classes when using current existing proximity measures to describe the correlation ...