PREDICTIVE ANALYSIS OF HIDIMENSIONAL DATA USING CLUSTER ANALYSIS

Abstract

Predictive analyzing techniques are increasingly being used by data scientists to understand the probability of predicted outcomes. However, for data that is high- dimensional, a critical step in predictive analyzing is determined which features should be included in the models. Real time classification of data, the goal of predictive analysis, relies on insight and intelligence based on historical patterns discoverable in data. Weka allows you to visualize the detected clusters graphically. In this paper, the weekly sales of high-dimensional data is clustered and predicted using weka software.