Large scale document categorization with fuzzy clustering JAVA
US$52.63
10000 in stock
SupportDescription
Clustering documents into coherent categories is a very useful and important step for document processing and understanding. The introducing of fuzzy set theory into clustering provides a favorable mechanism to capture overlapping among document clusters. Document dataset is commonly represented as a collection of high dimensional vectors, which may not be able to fit into memory entirely, when the dataset is large and with a very high dimensionality.