An EM Algorithm for the Block Mixture Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Latent Dirichlet Co-Clustering
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Type-2 Fuzzy Logic: Theory and Applications
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Block clustering with Bernoulli mixture models: Comparison of different approaches
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
In the present work, we applied a new control strategy of power systems based on a technique for classifying areas of an electrical network generators, lines, etc. taking into account both margins variations of variables given state and secondly, the impact of various faults each weighted by its probability of occurrence. Indeed, this technique, designated by fuzzy bi-clustering, was established by reference to a database, character matrix [MB], lines established by the events EVi weighted by their probabilities and columns by state variables selected δi total load angle.