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Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the similarity matrix corresponding to the data set. Therefore, it is not practical to use spectral clustering for a large data set. To overcome this problem, we propose the method to(More)
Cantilevers fabricated by means of micromachining techniques are usually used for atomic force microscopy. In this paper, the spring constant of an atomic force microscope (AFM) cantilever is determined by using a large-scale cantilever. Since the spring constant of the large-scale cantilever is calibrated accurately, the spring constant of the AFM(More)
In this paper, we improve an unsuper-vised learning method using the Expectation-Maximization (EM) algorithm proposed by Nigam et al. for text classification problems in order to apply it to word sense disambigua-tion (WSD) problems. The improved method stops the EM algorithm at the optimum iteration number. To estimate that number, we propose two methods.(More)
When grasping an object, friction forces are sometimes utilized effectively. This friction forces allows us to manipulate the object to various directions. Regarding such a grasped object posture, we reported an analysis on the 2D-space grasping with two contact points. Selecting the square sum of the contact forces as an evaluation function of the object(More)
When grasping an object, friction forces are sometimes utilized. Because of this friction forces, the object is manipulable to various direction. In this paper, we discuss which direction is best when contact points, the number of which is two in the 2D-space grasping or three in the 3D one, are assigned. To evaluate the object direction, we focus on the(More)
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique. In this task, the estimation of the cluster number (the number of the meaning) is critical. Our system primarily concentrates on this aspect. First, a user assigns the system an(More)