Multi-view Consensus Proximity Learning for Clustering


The majority of proximity-based multi-view clustering methods are sensitive to the initial proximity matrix. As a result, the clustering performance is quite unstable when using a variety of different initial proximity matrices. The initial value sensitivity problem is another name for this issue. It is not possible to tune the initial proximity matrix because clustering is an unsupervised learning task. Therefore, a significant but unresolved problem in proximity-based multi-view clustering is the question of how to get around the issue of the initial value being sensitive. This article proposes a brand new multi-view proximity learning method, which is called multi-view consensus proximity learning, in order to accomplish this goal (MCPL). On the one hand, the MCPL method learns the consensus proximity matrix to directly reflect the clustering result by integrating the information of all views in a self-weighted manner and giving a rank constraint on the Laplacian matrix. This allows the method to directly reflect the clustering result. On the other hand, unlike the majority of multi-view proximity learning methods, the proposed MCPL method adopts the data representatives rather than the original data objects in order to learn the consensus proximity matrix. This is a significant departure from the majority of multi-view proximity learning methods. As part of the process of proximity learning, the data representatives will be brought up to date, with the goal of reducing the effect that the initial value has on the effectiveness of the clustering. For the purpose of demonstrating that the proposed method is effective, a large number of experiments are carried out.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :High Resolution Beacon-Based Proximity Detection for Dense Deployment - 2018ABSTRACT:The emergence of Bluetooth low energy (BLE) beacons has promoted the development of proximity-primarily based service (PBS), which
PROJECT TITLE : LoDPD: A Location Difference-based Proximity Detection Protocol for Fog Computing - 2017 ABSTRACT: Proximity detection is one of the most common location-based applications in lifestyle when users intent to
PROJECT TITLE :Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large GraphsABSTRACT:High- proximity question in massive graphs may be a fundamental problem with a wide selection of applications.
PROJECT TITLE :6-DOF integrated adaptive backstepping control for spacecraft proximity operationsABSTRACT:Relative motion management with half dozen degrees of freedom (vi DOF) is investigated for a chaser spacecraft with parametric
PROJECT TITLE :Proximity Detection with RFID: A Step Toward the Internet of ThingsABSTRACT:In the Internet of Things (IoT), things will be able to sense, communicate, and interact. They can additionally exchange knowledge and

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry