Concept Lattice Generation by Singular Value Decomposition

Abstract. Latent semantic indexing (LSI) is an application of numerical method called singular value decomposition (SVD), which discovers latent semantic in documents by creating concepts from existing terms. The application area is not limited to text retrieval, many applications such as image compression are known. We propose usage of SVD as a possible data mining method and lattice size reduction tool. We offer in this paper preliminary experiments to support usability of proposed method.

• Type: Conference
• Year: 2004
• Where: CLA
• Authors: Petr Gajdos, Pavel Moravec, Václav Snásel
• Keywords: CLA 2004, CLA 2007, Data Mining Method, Latent Semantic Indexing, Singular Value Decomposition