What is Machine Learning?
Ans: Computer learns itself without explicitly programming.
For ex: Computer learns itself to recognize characters on the paper without explicitly programmed.
What is the difference between clustering and classification?
Classification is supervised learning and clustering is unsupervised learning.
Clustering can be used in outlier detection where in similar values are grouped into clusters and all the values not in any of the clusters are outliers.
Clustering can be used as data reduction technique where in cluster representation of the data are used to replace the actual data.
Clustering can be used as data discretizing technique where a numerical attribute can be discretized by partitioning the values of attribute into clusters or groups.
You can know the distribution of data from cluster analysis.
Ans: Computer learns itself without explicitly programming.
For ex: Computer learns itself to recognize characters on the paper without explicitly programmed.
What is the difference between clustering and classification?
Classification is supervised learning and clustering is unsupervised learning.
Clustering can be used in outlier detection where in similar values are grouped into clusters and all the values not in any of the clusters are outliers.
Clustering can be used as data reduction technique where in cluster representation of the data are used to replace the actual data.
Clustering can be used as data discretizing technique where a numerical attribute can be discretized by partitioning the values of attribute into clusters or groups.
You can know the distribution of data from cluster analysis.
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