6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2010
On the clustering aspect of nonnegative matrix factorization
Andri Mirzal, Masashi Furukawa
This paper provides a theoretical explanation on the clustering aspect of nonnegative matrix factorization (NMF). We prove that even without imposing orthogonality nor sparsity con…
cs.IR2010★ 6 cited
Node-Context Network Clustering using PARAFAC Tensor Decomposition
Andri Mirzal, Masashi Furukawa
We describe a clustering method for labeled link network (semantic graph) that can be used to group important nodes (highly connected nodes) with their relevant link's labels by us…
cs.LG2010★ 4 cited
Eigenvectors for clustering: Unipartite, bipartite, and directed graph cases
Andri Mirzal, Masashi Furukawa
This paper presents a concise tutorial on spectral clustering for broad spectrum graphs which include unipartite (undirected) graph, bipartite graph, and directed graph. We show ho…