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I've been looking for this aswer about a few months, and nothing! Researching on it, I believe that both are same. But, with only one markable difference: clustering is a type of unsupervised learning, and classification is a type of supervised learning. I believe that it is the only difference, and, of course, this dictates the way that the algorithm starts. But the results are essentially similar: grouped data.
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Difference between discrimination and classification in datamining?
There is only a slight difference between discrimination and classification in data mining. Discrimination can be negative and classification is generally just factual.
Types of clustering algorithm?
Clustering algorithms may be classified as listed below:Exclusive ClusteringOverlapping ClusteringHierarchical ClusteringProbabilistic Clustering
Difference between K-mean and K-medoids algorithm for clustering techniques in data mining?
Both of them utilize expectation-maximization strategy to converge to a minimum error condition. While K-Medoids require the cluster centters to be centroids, in k-Means the centers could be anywhere in the sample space. k-Medoids is more robust to outliners than k-Means therefore results in more quality clustering. It is also computationally more complex.
What is the difference between technology and process?
what is the difference between license and patent
What is the difference between an assembler and a translator?
what is the difference between an assembler and the translator
Difference between classification and clustering?
Classification is a type of supervised learning (Background knowledge is known) and Clustering is a type of unsupervised learning(No such knowledge is known).
What are the difference between clustering and cross enrollment?
what are the difference between clustering and cross enrollment
The difference between expert classification and image segmentation?
image segmentation refers to clustering or grouping of homogeneous pixels into various groups while classification is next hierarchy which labell those clustered pixels as different classes..
What is the difference between cluster and segmentation?
see zyxo.wordpress.com/2010/07/17/the-difference-between-segmentation-and-clustering/ for a neat explanation.
Differentiate between book classification and knowledge classification?
difference between knowledge classification and book classification?
Difference between discrimination and classification in datamining?
There is only a slight difference between discrimination and classification in data mining. Discrimination can be negative and classification is generally just factual.
What is the definition of database clustering?
Database is defines as a collection related records/data. When the data in the database is grouped based on some classification it is called database clustering.
What is the difference between inclusive of and exclusive in?
data classification in statistics
What is the difference between clustering and load balancing?
Clustering is a group of resources trying to achieve the same objective, whereas load balancing is having several different servers that are completely unaware of each other and trying to achieve the same objective.
What is the difference between modern methods of classification and traditional methods of classification?
Modern classification is based on evolutionary relationships between organisms while traditional classification is not.
The difference between partition to classification?
Classification is sorting out things due to scientific process. Partition is eminent domain.
Why do you need a classification system?
so scientists can tell the difference between animals
