Data Mining - Cluster Analysis

Analysis on Algorithm and Application of Cluster in Data Mining

Cluster analysis in data mining is an important research field; it has its own unique position in a large number of data analysis and processing. The research about Clustering makes a spurt development after more than 20 years, and then produced a variety of types and application of the clustering algorithm. Data Mining is one of the pop researches in information industry last few years. This p...

Clustering Methods in Data Mining with its Applications in High Education

Data mining is a new technology, developing with database and artificial intelligence. It is a processing procedure of extracting credible, novel, effective and understandable patterns from database. Cluster analysis is an important data mining technique used to find data segmentation and pattern information. By clustering the data, people can obtain the data distribution, observe the character...

Analysis of Diverse Clustering Tools in Data Mining

Clustering in data mining is an unsupervised learning technique of aggregating the data objects into meaningful groups such that the intra cluster similarity of objects are maximized and inter cluster similarity of objects are minimized. Over the past decades several clustering tools were emerged in which clustering algorithms are inbuilt and are easier to use and extract the expected results. ...

A survey on text mining techniques

text mining is a technique to find meaningful patterns from the available text documents. The pattern discovery from the text and document organization of document is a well-known problem in data mining. Analysis of text content and categorization of the documents is a complex task of data mining. In order to find an efficient and effective technique for text categorization, various techniques ...

Cluster Analysis for Data Mining Andsystem

A Review of Density-Based clustering in Spatial Data

Data mining is a non-trivial process. That is identifying novel, valid and potentially useful patterns in data. Data mining supports automatic data exploration. That is extracting hidden information from the huge database. Data mining refers to search useful and relevant information from the database. Spatial mining is a branch of data mining. The spatial mining deals with the location or geo-r...