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Data clustering is an unsupervised classification method aims at creating groups of objects, or clusters, in such a way that objects in the same cluster are very similar and objects in different clusters are quite distinct. K-means is an iterative algorithm in which the number of clusters must be determined before the execution.In this book an efficient k-means algorithm is proposed. Since, in each iteration, the k-means algorithm computes the distances between data point and all centers, this is computationally very expensive especially for huge data sets. For each data point, we can keep...

Diagnosis, instrumentation, obturation and restoration are the main steps involved in the endodontic treatment of teeth. Elimination of irritants and prevention of re-contamination being the aim of the treatment. The use of Chemical means of Root Canal Sterilization is the key to success because of their easy access to areas inaccessible to the instruments. Chemical agents also provide the advantage of preventing over instrumentation which may be required for complete debridement.