Applications Of Clustering Techniques In The Different Research Areas Of Applied Sciences

EasyChair Preprint 2403

Abstract

In today’s high speed and digital human life, Internet plays a imperative role. Peoples working in different research areas of applied sciences are searching their required information on the Internet. Due to advancements in web technologies, amount of data available has grown tremendously. Information retrieval from this voluminous data has become most difficult but very needy operation. Data mining is the computing process of discovering patterns in large data sets involving different methods with the integration of machine learning, statistics, and database systems. Clustering is often referred as the first steps in data mining. It identifies groups of related records that can be used as a starting point for exploring further relationships. Clustering techniques are used in different research areas of applied sciences. This paper attempts to focus application of clustering techniques in different areas of applied sciences. In the first part of the paper we have introduced clustering and clustering techniques. Later we have presented applications of clustering in different areas of applied sciences.

Keyphrases: Clustering, Data Mining, GIS, Information Retrieval, biomedical text, image segmentation, text mining

@booklet{EasyChair:2403,
  author    = {Ulhaskumar Patki and Jayprakash Duve and Pradeep Khot},
  title     = {Applications Of Clustering Techniques In The Different Research Areas Of Applied Sciences},
  howpublished = {EasyChair Preprint 2403},
  year      = {EasyChair, 2020}}