Density Based Clustering of Histogram Peaks for Large Datasets Analysis and Image Segmentation

Student: Nevalennaia Iuliia

Educational Programme: Data Analysis for Biology and Medicine (Master)

Final Grade: 9

Year of Graduation: 2019

The paper introduces a new histogram cluster segmentation approach based on a successful cluster algorithm described in the Rodrigues-Laio work. Contrary to the majority of existing segmentation algorithms the current approach neither demands preliminary assignment of the number of clusters (segments) nor presumption of the distribution, is simple to implement and can be used for the analysis of both one- and two-dimensional frequency tables. Such instrument can be found of use primarily in computer vision, but also can be used as a big data analysis stage, which is confirmed by the conducted experiments: real data analysis and segmentation of blood smear images.

Full text (added May 23, 2019)

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