Sep 19, 2020 · In this work, we focus on constrained clustering, a semi-supervised learning task that involves using limited amounts of labelled data, ...

In this work, we introduce and analyze a novel Ising modeling framework for semi-supervised clustering that supports the combination of different types of ...

We present an Ising modeling framework that is flexible enough to support various types of constraints and we instantiate the framework with two common types of ...

We study the proposed framework, both theoretically and empirically, and demonstrate how constrained clustering problems can be solved on a specialized CMOS ...

Apr 22, 2020 · Motivated by the recent emergence of specialized hardware platforms, we present a new approach to the consensus clustering problem that is based ...

We present two Ising models for consensus clustering and evaluate them using the Fujitsu Digital Annealer, a quantum-inspired CMOS annealer. Our empirical ...

An Ising framework for constrained clustering on special purpose hardware. E Cohen, A Senderovich, JC Beck. Integration of Constraint Programming, Artificial ...

May 16, 2023 · An ising framework for constrained clustering on special purpose hardware. ... A framework for actionable clustering using constraint programming.

The Ising-based kernel clustering method utilizes the coefficients of the objective function as the elements of the Gram matrix. Let us conduct the experiments ...

"An Ising Framework for Constrained Clustering on Special Purpose Hardware". Clear Search History. Refiners. Library. National Diet Library