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A Survey of Text Clustering Algorithms
[chapter]
2012
Mining Text Data
Clustering is a widely studied data mining problem in the text domains. The problem finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, document organization, and indexing. In this chapter, we will provide a detailed survey of the problem of text clustering. We will study the key challenges of the clustering problem, as it applies to the text domain. We will discuss the key methods used for text clustering, and their relative advantages.
doi:10.1007/978-1-4614-3223-4_4
fatcat:ileuq6jxrrgthee2bba5e4secq