57 citations · 69 across the 2 of their papers we have counts for
2 papers
stat.ML2012★ 12 cited
Clustering Dynamic Web Usage Data
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi +1
Most classification methods are based on the assumption that data conforms to a stationary distribution. The machine learning domain currently suffers from a lack of classification…
math.ST2011★ 57 cited
Dynamic Clustering of Histogram Data Based on Adaptive Squared Wasserstein Distances
Antonio Irpino, Rosanna Verde, Francisco de AT De Carvalho
This paper deals with clustering methods based on adaptive distances for histogram data using a dynamic clustering algorithm. Histogram data describes individuals in terms of empir…