Jun 15, 2012

Analysis of Classification & Clustering Algorithms

This is Computer science project report on "Analysis of classification and clustering algorithms by WEKA. Nowadays the databases are of huge size,so it is difficult to analyze those data,tools like weka are developed. Classification is a data mining(machine learning) technique used to predict group membership for data instances. Clustering is a data mining technique used to place data elements into related groups without advanced knowledge of the group definitions. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more such projects and seminar.

Weka is a data mining tool. Weka provides implementations of learning algorithms that you can easily apply to your dataset. One way of using Weka is to apply a learning method to a dataset and analyze its output to learn more about data. Another is to use learned models to generate predictions on new instances. Use this report for your reference and study work.

Author:- M.Aswini, S.Jyothsna, N.Deepika, B.Smitha


Tags: , , , ,

0 Responses to “Analysis of Classification & Clustering Algorithms”

Subscribe Now!! final year project subscribers

Get the latest projects on your Email, 27k+ user's can't be wrong !!

Note: We promise, we don't SPAM, so don't forget to verify your Email and get FREE projects.
© 2015 FREE FINAL YEAR PROJECT'S. All rights reserved.
Designed by SpicyTricks