Privacy preserving K-Medoids clustering

Privacy is an important issue in the collaborative data mining since privacy concerns may prevent the parties from directly sharing the data and some types of information about the data. How multiple parties collaboratively conduct data mining without breaching data privacy presents a challenge. This paper seeks to investigate solutions for privacy- preserving K-Medoids clustering which is one of data mining tasks.