The Research of Fast Clustering Algorithm of High Dimension Data Mining

Provided by: AICIT
Topic: Big Data
Format: PDF
In this paper, the authors propose an improved reference points and density clustering algorithm based on density cluster analysis algorithm. For the fact that the traditional data mining algorithms have relatively low executed efficiency in the processing of high-dimension large-scale data, density cluster analysis algorithm is an efficient data mining algorithms which has insensitive characteristics to noise data and the ability to find clusters of arbitrary shape. In this algorithm, the space geometric characteristics of the data is reflected, analyzed and processed by reference points.

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