Manuscript Number : CSEIT1835131
Two Phase Clustering Approach in Data Mining : A Review
Authors(2) :-Vashali, Shagun In clustering, dissimilarity is measured between gadgets by way of measuring the Euclidean distance among every pair of items. Analysis of cluster is a descriptive assignment that perceive homogenous group of objects and it is also one of the fundamental analytical method in facts mining. mean Shift clustering does now not depend upon a priori information of the wide variety of clusters while ok-way algorithm is an unmanaged clustering set of rules that classifies the enter records factors into multiple clusters k based on their inherent distance from each other. On this assessment, the outline of mean shift and okay-way algorithm is provided.
Vashali huge statistics, SQL, BD Publication Details Published in : Volume 3 | Issue 5 | May-June 2018 Article Preview
M. Tech. Scholar, Department of Computer Science & Engineering Manav Institutes of Technology & Management, Haryana, India
Shagun
Asstt. Professor, Department of Computer Science & Engineering Manav Institutes of Technology & Management, Haryana, India
Date of Publication : 2018-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 726-731
Manuscript Number : CSEIT1835131
Publisher : Technoscience Academy