A Hierarchical Model for Clustering and Categorising Documents
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Variational Extensions to EM and Multinomial PCA
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Aligning words using matrix factorisation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
NMF and PLSI: equivalence and a hybrid algorithm
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic model for data cube compression and query approximation
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Computational Statistics & Data Analysis
Non-negative matrix factorisation for object class discovery and image auto-annotation
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Probabilistic polyadic factorization and its application to personalized recommendation
Proceedings of the 17th ACM conference on Information and knowledge management
Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Bayesian Non-negative Matrix Factorization
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
The VLDB Journal — The International Journal on Very Large Data Bases
Multiview clustering: a late fusion approach using latent models
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Bayesian inference for nonnegative matrix factorisation models
Computational Intelligence and Neuroscience
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
iOLAP: A framework for analyzing the internet, social networks, and other networked data
IEEE Transactions on Multimedia - Special section on communities and media computing
Randomized Probabilistic Latent Semantic Analysis for Scene Recognition
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Binary matrix factorization for analyzing gene expression data
Data Mining and Knowledge Discovery
Improving document clustering in a learned concept space
Information Processing and Management: an International Journal
Information Processing and Management: an International Journal
Measuring distributional similarity in context
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Mining networked media collections
AMR'09 Proceedings of the 7th international conference on Adaptive multimedia retrieval: understanding media and adapting to the user
A semantic higher-level visual representation for object recognition
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Fast coordinate descent methods with variable selection for non-negative matrix factorization
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Nonnegative factorization of diffusion tensor images and its applications
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Larger residuals, less work: active document scheduling for latent dirichlet allocation
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Latent vector weighting for word meaning in context
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Supervised input space scaling for non-negative matrix factorization
Signal Processing
On finding the natural number of topics with latent dirichlet allocation: some observations
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Clustering tagged documents with labeled and unlabeled documents
Information Processing and Management: an International Journal
Joint training of non-negative Tucker decomposition and discrete density hidden Markov models
Computer Speech and Language
Proceedings of the 7th ACM conference on Recommender systems
Topic modelling of clickthrough data in image search
Multimedia Tools and Applications
Comment-based multi-view clustering of web 2.0 items
Proceedings of the 23rd international conference on World wide web
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Non-negative Matrix Factorization (NMF, [5]) and Probabilistic Latent Semantic Analysis (PLSA, [4]) have been successfully applied to a number of text analysis tasks such as document clustering. Despite their different inspirations, both methods are instances of multinomial PCA [1]. We further explore this relationship and first show that PLSA solves the problem of NMF with KL divergence, and then explore the implications of this relationship.