Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints

Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints

In similarity-based constrained clustering, there have been various approaches on how to define the similarity between documents to guide the grouping of similar documents together. This paper presents an approach to use term-distribution statistics extracted from a small number of cue instances wit...

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Bibliographic Details
Main Authors: Uraiwan Buatoom, Waree Kongprawechnon, Thanaruk Theeramunkong
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Symmetry
Subjects:
constrained document clustering
term weighting
class frequencies and distributions
text mining
similarity measure
k-means
Online Access:https://www.mdpi.com/2073-8994/12/6/967

Internet

https://www.mdpi.com/2073-8994/12/6/967

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