Phrase based Clustering Scheme of Suffix Tree Document Clustering Model

Phrase based Clustering Scheme of Suffix Tree Document Clustering Model

Document clustering is one of the difficult and recent research fields in the search engine research. Most of the existing documents clustering techniques use a group of keywords from each document to cluster the documents. Document clustering arises from information retrieval domains, and “It finds grouping for a set of documents belonging to the same cluster are similar and documents belongs ...

Document Clustering Using Suffix Tree

Semantic Suffix Tree Clustering

This paper proposes a new algorithm, called Semantic Suffix Tree Clustering (SSTC), to cluster web search results containing semantic similarities. The distinctive methodology of the SSTC algorithm is that it simultaneously constructs the semantic suffix tree through an on-depth and on-breadth pass by using semantic similarity and string matching. The semantic similarity is derived from the Wor...

Text Document Clustering based on Phrase

Affinity propagation (AP) was recently introduced as an unsupervised learning algorithm for exemplar based clustering. In this paper novel text document clustering algorithm has been developed based on vector space model, phrases and affinity propagation clustering algorithm. Proposed algorithm can be called Phrase affinity clustering (PAC). PAC first finds the phrase by ukkonen suffix tree con...

Phrase Clustering Without Document Context

We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual document co-occurrence information. Our clustering algorithm, CPCL (Classification by Preferential Clustered Link) is based on general lexico-syntactic relations which do not require prior domain knowledge or the existence of a...