Spectral Kernal Methods for Clustering

Brain MRI Medical Image Segmentation Using Fuzzy Based Clustering Algorithms

In this paper, the performance of the various fuzzy based algorithms for medical image segmentation is presented. Fuzzy c-means (FCM) algorithm has proved its effectiveness for image segmentation. However, still it lacks in getting robustness to noise and outliers, especially in the absence of prior knowledge of the noise. To overcome this problem, different types of fuzzy algorithms are introd...

Application of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors

In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...

Assessment of the Performance of Clustering Algorithms in the Extraction of Similar Trajectories

In recent years, the tremendous and increasing growth of spatial trajectory data and the necessity of processing and extraction of useful information and meaningful patterns have led to the fact that many researchers have been attracted to the field of spatio-temporal trajectory clustering. The process and analysis of these trajectories have resulted in the extraction of useful information whic...

Kernal Width Selection for SVM Classification: A Meta-Learning Approach

Optimization of media constituents for the production of lipase in solid state fermentation by Yarrowia lipolytica from palm Kernal cake (Elaeis guineensis)

The production of extra cellular lipase in Solid State Fermentation (SSF) using Yarrowia lipolytica NCIM 3589 with Palm Kernal cake (Elaeis guineensis) has been studied. Different parameters such as incubation time, inoculum level, initial moisture content, carbon level and nitrogen level of the medium were optimized. Screening of various process variables has been accomplished with the help of...