Problem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. Approach: This study explores the suitability of multivariate Bernoulli model based probabilistic algorithm for text clustering application. In a multivariate Bernoulli model, a document is represented as a binary vector over the space of words with 0 and 1, indicating that whether word occurs or not in the document. The number of occurrences is not considered. So the word frequency information is lost due to this nature of implementation. In this work, we propose a FFT based transformation technique for improving clustering performance of multivariate Bernoulli model based probabilistic algorithm. We are using the transformation technique to transform the actual term frequency count data in to a time domain signal. So, the weight of frequency of each word will be distributed throughout each row of records. Now if we apply multivariate Bernoulli model on values less than zero and greater than zero, the performance will get increased since there is no information loss in this kind of data representation. Results: In this work, Bernoulli model-based clustering and an improved version of the same will be implemented and evaluated using suitable metrics and the results are shown. Conclusion: The transformation technique in multivariate Bernoulli model improves the performance of document clustering significantly

Rib variations are usually incidental findings on imaging studies and are rarely symptomatic. If in adequately evaluated they are easily overlooked as most of the X-ray is aimed at evaluating the lung parenchyma. Trauma related lesions might usually be misinterpreted as rib variations and sometimes rib lesions may mimic a variant of rib and radiologists should be familiar with a number of normal variants of the ribs to avoid mistaking them for an abnormality. In this article we will discuss and illustrate variety of anatomical rib variants and their incidence in this given population. Anatomical rib variants include developmental deformities, cervical rib, Bifid (forked), fused rib and hypertrophied transverse process of C7 be used. The aim of our study is to have a comprehensive evidence-based morphological assessment of normal anatomical variations of ribs and their prevalence in this population. A Retrospective study of Chest radiographs of 1000 adults who visited our hospital for a routine check-up or for various medical examinations from September 1st 2018 to September 30th 2018, were consecutively reviewed for normal variations of rib. In our study of 1000 radiographs (Male 652 and female 348), there are 10 cervical ribs, 5 bifid ribs, 16 cases of hypertrophied transverse process and 3 fused rib. Thus in conclusion, the knowledge of incidence of normal anatomical variations of ribs and their appearance in a given population is important for radiologist as it avoids any misinterpretation of these relatively normal variants and signals a possibility of neurovascular compression if clinically relevant.

The prevalence of accessory ossicles and sesamoids is widely variable.[1,4,5] These bones are normal variants and remain asymptomatic, usually overlooked or misdiagnosed.[1,6] These ossicles and sesamoids are involved in various diseases, including fractures, dislocations, degenerative changes. Others include osteonecrosis, osteoarthritis, osteochondral lesion, avascular necrosis, and impingement syndromes.