PriTri: An Innovative Algorithm for Clustering Categorical Data in Data Warehouse

the process of data mining to extract knowledge from large data set needs great potential to extract the hidden nuggets. To cluster the numerical data there are enormous clustering technique. Data mining for categorical data(qualitative and quantitative) the most frequently used algorithms are k-means, k-mediods and fuzzy rule all these methods needs a threshold value to overcome this problem. This paper propose an algorithm to optimize the number of clusters and it also uses novel way to construct the data mart using the concept of multiprocessing Pri-tri algorithm. Keywordsmining, clustering, k-means, Multiprocessing.