204 citations · 784 across the 42 of their papers we have counts for
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cs.LG2014★ 5 cited
The Laplacian K-modes algorithm for clustering
Weiran Wang, Miguel Á. Carreira-Perpiñán
In addition to finding meaningful clusters, centroid-based clustering algorithms such as K-means or mean-shift should ideally find centroids that are valid patterns in the input sp…
cs.LG2014★ 3 cited
The role of dimensionality reduction in linear classification
Weiran Wang, Miguel Á. Carreira-Perpiñán
Dimensionality reduction (DR) is often used as a preprocessing step in classification, but usually one first fixes the DR mapping, possibly using label information, and then learns…
cs.LG2014★ 2 cited
LASS: a simple assignment model with Laplacian smoothing
Miguel Á. Carreira-Perpiñán, Weiran Wang
We consider the problem of learning soft assignments of items to categories given two sources of information: an item-category similarity matrix, which encourages items to…