Text clustering using VSM with feature clusters
C Qimin, G Qiao, W Yongliang, W Xianghua - Neural Computing and …, 2015 - Springer
Abstract Representation of documents is the basis of clustering systems. In addition, non-
contiguous phrases appear more and more frequent in the text in the Web 2.0 age, and …
contiguous phrases appear more and more frequent in the text in the Web 2.0 age, and …
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
LM Abualigah, AT Khader - The Journal of Supercomputing, 2017 - Springer
The text clustering technique is an appropriate method used to partition a huge amount of
text documents into groups. The documents size affects the text clustering by decreasing its …
text documents into groups. The documents size affects the text clustering by decreasing its …
[PDF][PDF] Clustering technique in data mining for text documents
MJS Priya, MS Priyadharshini - Int J Comput Sci Inf Technol, 2012 - Citeseer
Feature selection is an important method for improving the efficiency and accuracy of text
categorization algorithms by removing redundant and irrelevant terms from the Data …
categorization algorithms by removing redundant and irrelevant terms from the Data …
[PDF][PDF] Cues: A new hierarchical approach for document clustering
Objective of the document clustering techniques is to assemble similar documents and
segregate dissimilar documents. Unlike document classification, no labeled documents are …
segregate dissimilar documents. Unlike document classification, no labeled documents are …
[PDF][PDF] Clustering of words based on relative contribution for text categorization
JM Yang, ZY Liu, ZY Qu - IAENG International Journal of Computer …, 2013 - iaeng.org
Term clustering tries to group words based on the similarity criterion between words, so that
the groups can be used as the dimensions of the vector space in the text categorization. We …
the groups can be used as the dimensions of the vector space in the text categorization. We …
Improved document categorization through feature-rich combinations
Several comparatives studies report new findings relevant to the Text Categorization (TC)
task, and all provide valuable observations. However, many of them addressed western …
task, and all provide valuable observations. However, many of them addressed western …
[PDF][PDF] Machine learning approach to document classification using concept based features
CS Jothi, D Thenmozhi - International Journal of Computer …, 2015 - researchgate.net
Text mining refers to the process of deriving high-quality information from text. Text
processing involves in search and replace in electronic format of text. A number of …
processing involves in search and replace in electronic format of text. A number of …
Coupled term-term relation analysis for document clustering
Traditional document clustering approaches are usually based on the Bag of Words model,
which is limited by its assumption of the independence among terms. Recent strategies have …
which is limited by its assumption of the independence among terms. Recent strategies have …