?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Color+Image+Clustering+using+Block+Truncation+Algorithm&rft.creator=Silakari%2C+Sanjay+&rft.creator=Motwani%2C+Mahesh+&rft.creator=Maheshwari%2C+Manish+&rft.subject=Human+Computer+Interaction&rft.description=With+the+advancement+in+image+capturing+device%2C+the+image+data+been+generated+at+high+volume.+If+images+are+analyzed+properly%2C+they+can+reveal+useful+information+to+the+human+users.+Content+based+image+retrieval+address+the+problem+of+retrieving+images+relevant+to+the+user+needs+from+image+databases+on+the+basis+of+low-level+visual+features+that+can+be+derived+from+the+images.+Grouping+images+into+meaningful+categories+to+reveal+useful+information+is+a+challenging+and+important+problem.+Clustering+is+a+data+mining+technique+to+group+a+set+of+unsupervised+data+based+on+the+conceptual+clustering+principal%3A+maximizing+the+intraclass+similarity+and+minimizing+the+interclass+similarity.+Proposed+framework+focuses+on+color+as+feature.+Color+Moment+and+Block+Truncation+Coding+(BTC)+are+used+to+extract+features+for+image+dataset.+Experimental+study+using+K-Means+clustering+algorithm+is+conducted+to+group+the+image+dataset+into+various+clusters.&rft.publisher=International+Journal+of+Computer+Science+Issues%2C+IJCSI&rft.date=2009-09&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F6715%2F1%2F4-2-31-35.pdf&rft.identifier=++Silakari%2C+Sanjay++and+Motwani%2C+Mahesh++and+Maheshwari%2C+Manish+++(2009)+Color+Image+Clustering+using+Block+Truncation+Algorithm.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F6715%2F