Data clustering is one area of data mining that falls into the class unsupervised learning. Cluster analysis divides different classes by discovering internal structure set objects and their relationship. This paper presented a new density method based on modified inversion formula estimation. should allow to improve performance robustness k-means, Gaussian mixture model, other methods. The pri...

Background: Uterine inversion is a rare obstetric emergency but potentially life-threatening condition. If these are not immediately diagnosed, the massive and underestimated blood loss can lead to hypovolemic shock. Case: Case of 24 years old woman was referred from district Public Health Center with vaginal bleeding after delivery abdominal pain. We found fundal height postpartum 3 fingers ab...

This paper presents an articulatory codebook construction method which gives a good space coverage with a limited number of points. We represent the articulatory space by hypercubes. Therefore the articulatory space is decomposed into regions represented by few number of points. We describe our interpolation method to retrieve points from the hypercube and the inversion method based on the same...

We address the challenging problem of interpreting frequency domain helicopter-borne electromagnetic data in areas with rough topography. Our method is based on localized quasi-linear (LQL) inversion followed by rigorous inversion, if necessary. Terrain corrections are also included. The LQL inversion serves to provide a fast image of the target. These results are checked by rigorous successive...

We introduce a method for improving the image in areas of poor illumination using leastsquares inversion regularized with dip penalty filters in one and two dimensions. The use of these filters helps to emphasize the weak energy that exists in poorly illuminated areas, and fills-in gaps by assuming lateral continuity along the reflection-angle axis and/or the midpoint axes. We tested our regula...

A NEW multigrid relaxation scheme is developed for the steady-state solution of the Euler and Navier-Stokes equations. The lower-upper Symmetric-Gauss-Seidel method (LUSGS) does not require flux splitting for approximate Newton iteration. The present method, which is vectorizable and unconditionally stable, needs only scalar diagonal inversions. Application to transonic flow shows that the new ...