K-means clustering algorithm

In this paper, we propose a two-phase educational data clustering method using transfer learning and kernel k-means algorithms for the student data clustering task on a small target data set from a target program while a larger source data set from another source program is available.

14p vishizuka2711 07-04-2020 39 3   Download

So we are proposed Enhanced architecture with improved kmeans algorithm, which proposes a method for making the algorithm more effective and efficient, so as to get better clustering with reduced complexity. It will search the base keyword of the content from the knowledge database. Proposed work uses the search engine based on clustering and text mining.

6p hongnhan878 12-04-2019 25 1   Download

This paper aimed to evaluate the impact of Euclidean and Manhattan distance metrics on Kmeans algorithm using for clustering KDD cup99 intrusion detection data. Experimental results indicate that Manhattan distance metric performs better in terms of performance evaluation metrics than Euclidean distance metric.

4p byphasse043256 23-03-2019 32 1   Download