Stronger convergence results for the center-based fuzzy clustering with convex divergence measure
We present a novel alternative convergence theory of the fuzzy C-means (FCM) clustering
algorithm with a super-class of the so-called “distance like functions” which emerged from …
algorithm with a super-class of the so-called “distance like functions” which emerged from …
Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective
The performance of a clustering algorithm can be improved by assigning appropriate
weights to different features of the data. Such feature weighting is likely to reduce the effect …
weights to different features of the data. Such feature weighting is likely to reduce the effect …
Object detection and localization using compressed sensing
PA Deotale, P Vinayakray-Jani - International Symposium on Signal …, 2017 - Springer
Localization is very significant in Underwater Sensor Network (UWSN) applications. The
functionality of the network can face challenges by the force of water current and hostile …
functionality of the network can face challenges by the force of water current and hostile …