1 citations · 2 across the 6 of their papers we have counts for
6 papers
Linear time Evidence Accumulation Clustering with KMeans
Gaëlle Candel
Among ensemble clustering methods, Evidence Accumulation Clustering is one of the simplest technics. In this approach, a co-association (CA) matrix representing the co-clustering f…
The theoretical limits of biometry
Gaëlle Candel
Biometry has proved its capability in terms of recognition accuracy. Now, it is widely used for automated border control with the biometric passport, to unlock a smartphone or a co…
Noise-Resilient Ensemble Learning using Evidence Accumulation Clustering
Gaëlle Candel, David Naccache
Ensemble Learning methods combine multiple algorithms performing the same task to build a group with superior quality. These systems are well adapted to the distributed setup, wher…
Tagged Documents Co-Clustering
Gaëlle Candel, David Naccache
Tags are short sequences of words allowing to describe textual and non-texual resources such as as music, image or book. Tags could be used by machine information retrieval systems…
Co-Embedding: Discovering Communities on Bipartite Graphs through Projection
Gaëlle Candel, David Naccache
Many datasets take the form of a bipartite graph where two types of nodes are connected by relationships, like the movies watched by a user or the tags associated with a file. The…
Index -SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings
Gaëlle Candel, David Naccache
-SNE is an embedding method that the data science community has widely Two interesting characteristics of t-SNE are the structure preservation property and the answer to the cro…