Collaborative clustering aims at revealing the common structures of data distributed on different sites using local clustering methods such as Self-Organizing Maps (SOM). To face the ever growing quantity of data available, incremental clustering methods are required. This paper presents an algorithm to perform incremental SOM-based collaborative clustering. The experiments conducted on several datasets demonstrate the validity of the method and present the influence of the batch size on the learning.