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AI
2005
Springer
13 years 10 months ago
Comparing Dimension Reduction Techniques for Document Clustering
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
Bin Tang, Michael A. Shepherd, Malcolm I. Heywood,...
ICDE
2007
IEEE
211views Database» more  ICDE 2007»
13 years 11 months ago
Document Representation and Dimension Reduction for Text Clustering
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...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...
BMCBI
2010
243views more  BMCBI 2010»
13 years 5 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
AAAI
2012
11 years 7 months ago
Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach
The recent popularization of social web services has made them one of the primary uses of the World Wide Web. An important concept in social web services is social actions such as...
Nozomi Nori, Danushka Bollegala, Hisashi Kashima
IJAIT
2007
108views more  IJAIT 2007»
13 years 4 months ago
Document Retrieval by Projection Based Frequency Distribution
In document retrieval task, random projection (RP) is a useful technique of dimension reduction. It can be obtained very quickly yet the recalculation is not necessary to any chang...
Isamu Shioya, Hirohito Oh'uchi, Takao Miura