Self-organizing segmentation for house object

Clustering is the basic and first step of a process in many different fields. Clustering has been researched for many years. K-means clustering method is one of famous algorithms. However it cannot determine how many clusters are needed. This algorithm overcomes a disadvantage of other clustering algorithms. This paper presents a new method. Our algorithm can choose clustering number automatically.