Analysis And ImplementationOf K-Mean And K-Medoids Algorithm For Large Dataset To Increase Scalability And Efficiency

The experiments are pursued on both synthetic in data sets are real. The synthetic data sets which we used for our experiments were generated using the procedure. We refer to readers to it for more details to the generation of large data sets. We report experimental results on two synthetic more data sets in this data set; the average transaction of size and its average maximal potentially frequent item set its size are set, while the number of process in the large dataset is set. It is a sparse of dataset. The frequent item sets are short and also numerous data sets to cluster. The second synthetic data set we used is. The average transaction size and average maximal potentially frequent item set size of set to 30 and 32 respectively. There exist exponentially numerous frequent item data sets in this data set when the support based on threshold goes down. There are also pretty long frequent item sets as well as a large number of short frequent item sets in it. It process of contains abundant mixtures of short and long frequent data item sets

Survey performance approach k-Mean and k -Mediod clustering algorithm

K-means clustering algorithms are widely used for many practical applications. Original k-mean algorithm select initial centroids and medoids randomly that affect the quality of the resulting clusters and sometimes it generates unstable and empty clusters which are meaningless. The original k-means algorithm is computationally expensive and requires time proportional to the product of the number of data items, number of clusters and the number of iterations. The new approach for the k-mean algorithm eliminates the deficiency of exiting k mean. It first calculates the initial centroids k as per requirements of users and then gives better, effective and good cluster without scarifying Accuracy. It generates stable clusters to improve accuracy. It also reduces the mean square error and improves the quality of clustering. We also applied our algorithm for the evaluation of student’s academic performance for the purpose of making effective decision by the student councilors

Tuberculosis of sternoclavicular joint: a rare case report

Osteoarticular tuberculosis comprises 10-15% of the all cases of extrapulmonary tuberculosis. Tubercular involvement of the sternoclavicular joint is very rare. We hereby present a rare case report of the 38 year old female with sternoclavicular joint tuberculosis with cold abscess. The diagnosis was confirmed by FNAC and on ZN staining AFB was isolated. Patient was managed successfully by the anti-tubercular therapy at the end of the treatment. So, a degree of suspicion of the tuberculosis at these rare sites along with investigation followed by anti-tubercular therapy leads to successful treatment of the disease

C-cell hyperplasia in sporadic and familial medullary thyroid carcinoma

Context: C-cell hyperplasia (CCH) is characterized by increased mass of C-cells and has been identified as a precursor condition for medullary thyroid carcinoma (MTC). Varying proportion of MTCs is associated with CCH in different studies. This could be due to the lack of uniformity of the definitions and techniques used to identify CCH in these studies. Aims: This study aims to study the occurrence, clinicopathological, and immunohistochemical features of CCH in MTC diagnosed during a 22-year period at a tertiary care center in North India and to review the available literature on CCH. Materials and Methods: Eighty-seven consecutive cases of MTC were included in the study. Histological evaluation for the presence of CCH and neoplastic CCH was performed. Confirmation of CCH was done by immunohistochemistry for calcitonin and chromogranin. The presence of neoplastic CCH was correlated with clinical factors and prognostic factors. Results: Of 87 cases of MTC included in the study, 71 (82%) patients were sporadic and 16 (18%) had familial MTC. Neoplastic CCH was seen in 12 (75%) familial and in 9 (13%) sporadic MTC. Patients with familial MTC were more frequently associated with neoplastic CCH than sporadic MTC (P < 0.001), were younger (P < 0.001), and had more often bilateral and multifocal tumors (P < 0.001). However, there was no significant difference in mean survival time and progression-free survival in patients with and without CCH. Conclusion: CCH, though more common in familial MTC, can also be seen in sporadic tumors. CCH is not associated with patient survival and disease progression

Pharmacophoric interaction of least active compound 8t onto the pharmacophore obtained from structure-based approach.

<p>Pharmacophoric interaction of least active compound 8t onto the pharmacophore obtained from structure-based approach.</p

Hits retrieved through database screening along with their estimated activity and Lipinski’s parameters.

<p>Hits retrieved through database screening along with their estimated activity and Lipinski’s parameters.</p

Structure of the ligand L-700,417 (<i>N,N-bis(2-hydroxy-1-indanyl)-2,6-diphenylmethyl-4- hydroxy-1,7-heptandiamide</i>).

<p>Structure of the ligand L-700,417 (<i>N,N-bis(2-hydroxy-1-indanyl)-2,6-diphenylmethyl-4- hydroxy-1,7-heptandiamide</i>).</p

Mapping of another most active compound 9s (cyclic urea derivative) onto the generated pharmacophore model (hypothesis 1).

<p>Mapping of another most active compound 9s (cyclic urea derivative) onto the generated pharmacophore model (hypothesis 1).</p

Graph of 99% catscrambled correlation data.

<p>None of the outcome hypotheses had a higher correlation score than the initial (best) hypothesis.</p

A plot of actual versus estimated biological activity for training set compounds.

<p>A plot of actual versus estimated biological activity for training set compounds.</p