DIMENSIONALITY REDUCTION BY MATRIX FACTORIZATION USING CONCEPT LATTICE IN DATA MINING
نویسندگان
چکیده
منابع مشابه
Dimensionality Reduction by Matrix Factorization Using Concept Lattice in Data Mining
Concept lattices is the important technique that has become a standard in data analytics and knowledge presentation in many fields such as statistics, artificial intelligence, pattern recognition ,machine learning ,information theory ,social networks, information retrieval system and software engineering. Formal concepts are adopted as the primitive notion. A concept is jointly defined as a pai...
متن کاملNonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
We describe an algorithm for nonlinear dimensionality reduction based on semidefinite programming and kernel matrix factorization. The algorithm learns a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. In earlier work, the kernel matrix was learned by maximizing the variance in feature space while preserving the distances and angles between nearest neigh...
متن کاملStructure preserving non-negative matrix factorization for dimensionality reduction
The problem of dimensionality reduction is to map data from high dimensional spaces to low dimensional spaces. In the process of dimensionality reduction, the data structure, which is helpful to discover the latent semantics and simultaneously respect the intrinsic geometric structure, should be preserved. In this paper, to discover a low-dimensional embedding space with the nature of structure...
متن کاملNonnegative Matrix Factorization for Semi-supervised Dimensionality Reduction
We show how to incorporate information from labeled examples into nonnegative matrix factorization (NMF), a popular unsupervised learning algorithm for dimensionality reduction. In addition to mapping the data into a space of lower dimensionality, our approach aims to preserve the nonnegative components of the data that are important for classification. We identify these components from the sup...
متن کاملMatrix Factorization Techniques for Data Mining
General Interests Networking, information technology, information systems, computational theory, approximation algorithms, optimization, numerical methods, linear algebra, calculus, data mining, machine learning, artificial intelligence, theory of fractals and chaos, advances in science and technology in general Age 21 (born on 23rd April 1989) Languages Actively speak and write Slovenian, Engl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2015
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2015.0410076