Text Clustering Algorithms Features and Functions
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- Group documents based on their contents
- Expectation-maximization clustering groups documents using spatial clustering techniques
- Hierarchical clustering using Ward's agglomerative method to facilitate automatic grouping of documents into taxonomies
- Groups documents into hierarchical clusters belong to one leaf cluster as well as its parent clusters
- Cluster documents downstream in the process flow diagram using K-means or SOM/Kohonen clustering
- Profiles clusters using additional structured data from original documents (age, purchase propensity, etc.)
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Text Mining Features and Functions
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