saiteja-pagadala Goto Github PK

algorithms-practice

Miscallaneous practice codes and snippets

awesome-computer-science-ebook

Leading source of ebooks, with a vast range of ebooks from academic, popular and professional publishers.

circular-dichronism-spectroscopy-iiith

clustering-data-streams-based-on-shared-density-between-micro-clusters

As more and more applications produce streaming data, clustering data streams has become an important technique for data and knowledge engineering. A typical approach is to summarize the data stream in real-time with an online process into a large number of so called micro-clusters. Micro-clusters represent local density estimates by aggregating the information of many data points in a defined area. On demand, a (modified) conventional clustering algorithm is used in a second offline step to re-cluster the micro clusters into larger final clusters. For re-clustering, the centers of the micro-clusters are used as pseudo points with the density estimates used as their weights. However, information about density in the area between micro-clusters is not preserved in the online process and re-clustering is based on possibly inaccurate assumptions about the distribution of data within and between micro-clusters (e.g., uniform or Gaussian). This paper describes DBSTREAM, the first micro-cluster-based online clustering component that explicitly captures the density between micro-clusters via a shared density graph. The density information in this graph is then exploited for re-clustering based on actual density between adjacent micro-clusters. We discuss the space and time complexity of maintaining the shared density graph. Experiments on a wide range of synthetic and real data sets highlight that using shared density improves clustering quality over other popular data stream clustering methods which require the creation of a larger number of smaller micro clusters to achieve comparable results.

computer-programming-responsive-iiith

This repository contains the responsive computer programming lab

covid19india-network

:microscope: COVID19 India network cluster

cvr-student-hub-college-social-networking-site-

An engineering student uses and works with variety of materials like scientific calculator, apron, drafter, textbooks etc in the course of 4 years which could add up to the economic burden of the student. The ‘Engineering material sale’ web application serves as a medium which brings together seniors and juniors of a college online and encourage them to exchange the engineering materials. A senior who possess certain engineering material which is of no use to him would lend it to a junior who is need of it and he would further lend the same material to others, this process would continue in form of a cycle benefiting many students by reducing the extra economic burden on them.

studious_books_for_programming_developers