39 citations · 40 across the 4 of their papers we have counts for
4 papers
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems
Mihaly Novak, Rocco Langone, Carlos Alzate +1
An improved version of the sparse multiway kernel spectral clustering (KSC) is presented in this brief. The original algorithm is derived from weighted kernel principal component (…
Kernel Spectral Clustering and applications
Rocco Langone, Raghvendra Mall, Carlos Alzate +1
In this chapter we review the main literature related to kernel spectral clustering (KSC), an approach to clustering cast within a kernel-based optimization setting. KSC represents…
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Kernel spectral clustering corresponds to a weighted kernel principal component analysis problem in a constrained optimization framework. The primal formulation leads to an eigen-d…
Clustering evolving data using kernel-based methods
Rocco Langone
In this thesis, we propose several modelling strategies to tackle evolving data in different contexts. In the framework of static clustering, we start by introducing a soft kernel…