Why do we need to measure Similarity?

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If we can measure similarity or dissimilarity, then

• we can distinguish one object from another,
• We can group them based on the similarity or dissimilarity (for example using k-means clustering).
• Once we can group the objects into group, we can understand the characteristics of each group.
• We can explain the behavior of the clusters.
• Grouping also may give more efficient organization and retrieval of information.
• We can classify a new object into the group
• We can predict the behavior of the new object.
• We can also simplify the data that we have into more reasonable relationship (data mining)
• We can discover the structure within the data set.
• We can take action, plan and decision based on the structure and prediction of the data.

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