Characterization and detection of noise in clustering

Noise clustering, as a robust clustering method, performs partitioning of data sets reducing errors caused by outliers. Noise clustering defines outliers in terms of a certain distance, which is called noise distance. The probability or membership ...

We considered the initialization of K-modes clustering from the view of outlier detection.We proposed an initialization algorithm for K-modes clustering via the distance-based outlier detection technique.We presented a partition entropy-based outlier ...

In this paper, we propose a Noise Detection Fuzzy (NDF) filter, to achieve improved filtering performance in terms of effectiveness in removing salt-and-pepper noise while preserving image details. It operates in a moving window where the update value ...