Understanding search engines: mathematical modeling and text retrieval
Understanding search engines: mathematical modeling and text retrieval
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Pattern Discovery for High-Dimensional Binary Datasets
Neural Information Processing
Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing
Neural Information Processing
Data Clustering with Semi-binary Nonnegative Matrix Factorization
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptation
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Using underapproximations for sparse nonnegative matrix factorization
Pattern Recognition
Mining fuzzy frequent itemsets for hierarchical document clustering
Information Processing and Management: an International Journal
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce
Proceedings of the 19th international conference on World wide web
Bars problem solving - new neural network method and comparison
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Molecular cancer class discovery using non-negative matrix factorization with sparseness constraint
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Knowledge extraction with non-negative matrix factorization for text classification
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Personalized blog content recommender system for mobile phone users
International Journal of Human-Computer Studies
Information Processing and Management: an International Journal
Nonnegative shared subspace learning and its application to social media retrieval
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Fast dimension reduction based on NMF
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Musical onset detection by means of non-negative matrix factorization
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
A new method for musical onset detection in polyphonic piano music
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
Subtractive initialization of nonnegative matrix factorizations for document clustering
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
SIAM Journal on Scientific Computing
Non-negative matrix factorization based text mining: feature extraction and classification
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Nonnegative matrix factorization via generalized product rule and its application for classification
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Efficient Nonnegative Matrix Factorization via projected Newton method
Pattern Recognition
Multistability of α-divergence based NMF algorithms
Computers & Mathematics with Applications
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Correntropy-Based document clustering via nonnegative matrix factorization
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Resilience and optimization of identifiable bipartite graphs
Discrete Applied Mathematics
Semi-supervised clustering via constrained symmetric non-negative matrix factorization
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Early and Late Fusion Methods for the Automatic Creation of Twitter Lists
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Modified subspace Barzilai-Borwein gradient method for non-negative matrix factorization
Computational Optimization and Applications
Non-negative matrix factorization on low-power architectures: a comparative study
Proceedings of the 20th European MPI Users' Group Meeting
Structure preserving non-negative matrix factorization for dimensionality reduction
Computer Vision and Image Understanding
Augmenting MATLAB with semantic objects for an interactive visual environment
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
Semantic smoothing for text clustering
Knowledge-Based Systems
Subtractive clustering for seeding non-negative matrix factorizations
Information Sciences: an International Journal
A convergent algorithm for orthogonal nonnegative matrix factorization
Journal of Computational and Applied Mathematics
Global convergence of modified multiplicative updates for nonnegative matrix factorization
Computational Optimization and Applications
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A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank nonnegative matrix factorization algorithm to retain natural data nonnegativity, thereby eliminating the need to use subtractive basis vector and encoding calculations present in other techniques such as principal component analysis for semantic feature abstraction. Existing techniques for nonnegative matrix factorization are reviewed and a new hybrid technique for nonnegative matrix factorization is proposed. Performance evaluations of the proposed method are conducted on a few benchmark text collections used in standard topic detection studies.