Authors : Pranjal S Bogawar
Page Nos : 107-108
Description :
Clustering plays vital role in data mining. Clustering is unsupervised classification technique. It is used to group the elements with same features. This is very useful to group the large amount of data. Newly created groups are used to analyze, summarize the huge data. Big companies can take large decisions from this summarized data. Clustering also useful in image processing.(E.g. Medical image, face detection, thumb impression etc.) This paper gives the idea about what is cluster, clustering. Clusters can easily created by finding the similarity between the data. This paper gives idea about some similarity measures and their comparative study. There are various clustering techniques. Each technique is suitable to solve particular problem as every technique has its pros and cons. Data should be classified into proper number of clusters. There are some methods which calculate proper number of clusters. This paper gives the idea about these methods.
Keywords Cluster, Cluster Analysis, EM, K-means.
