Semi Supervised Clustering for Text Clustering

Clustering digital objects (e.g., text documents) by identifying a subset of representative examples plays an important role in recent text mining and information retrieval research. In fact, organizing a large amount of objects into meaningful clusters (clustering) is often used to browse a collection of objects and organize the results returned by a search engine. After the clustering process, the obtained clusters are represented with examples, which can include all or part of the features that appear in the cluster members.

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering Topic: Big Data Date Added: Mar 2014 Format: PDF

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