Book chapter
Cluster Analysis: Modeling Groups in Text
Practical Text Analytics, pp 93-115
20 Oct 2018
Abstract
This chapter explains the unsupervised learning method of grouping data known as cluster analysis. The chapter shows how hierarchical and k-means clustering can place text or documents into significant groups to increase the understanding of the data. Clustering is a valuable tool that helps us find naturally occurring similarities.
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Details
- Title
- Cluster Analysis: Modeling Groups in Text
- Creators
- Murugan Anandarajan - Drexel UniversityChelsey Hill - Montclair State UniversityThomas Nolan - Mercury Systems (United States)
- Publication Details
- Practical Text Analytics, pp 93-115
- Series
- Advances in Analytics and Data Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems); Bennett S. LeBow College of Business; Television (and Media) Management; Drexel University
- Other Identifier
- 991019551544404721