Online Marketing :: Search Engines |
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Cluster Analysis And Search Engines Optimimization |
| Information Retrieval Systems (ex. Seacrh Engines) use 2 types of Classifications: Supervised and Unsupervised. Supervised Classification has a set of rules based on pre-define objects. Unsupervised Classification does not. This is known as Cluster Analysis. Learn why not only Search Engine Marketers can benefit from it. |
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In Information Retrieval (IR) there 2 types of Classifications: Supervised and Unsupervised. Supervised Classification has a set of rules based on pre-define objects. Unsupervised Classification does not. This is known as Cluster Analysis.
According to Wikipedia, Cluster Analysis is a class of statistical techniques that can be applied to data that exhibits “natural” groupings. Cluster analysis sorts through the raw data and groups them into clusters.
As part as this CA process, Proximity plays a big role. We can also use Proximity to compare any two groups of objects. It does relate to how similar, or alike the objects from a given group are. The are 2 distinguished types of Proximity: Similarities and Dissimilarities. Similarity indicates how similar or alike these objects are. On the other hand, .Dissimilarity shows how different or opposit01 objects from a given group (or cluster) are.
Two-way clustering, co-clustering or bi-clustering are the names for clusterings (groupings) where not only the objects are clustered but as well the features of these particular objects. Latent Semantic Indexing (LSI) matrixes can be populated with Similarity values. If the data is represented in a data matrix, the row and columns of it are clustered simultaneously. Cluster Analysis (CA) is not only useful to Search Engine Optimizers and Marketers. Others, Researchers, Engineers, etc, can benefit from the application of Unsupervised Classification.
Jose Nuñez is a Scientific SEO/SEM Specialist. He is the CTO of HiRank, an Online Resource focusing on Search Engines (SE) and Artificial Inteligence (AI)
Find out more search engine ranking articles at: http://www.hirank.com/
Or contact him at: jnunez@hirank.com
Article Source: www.activehowto.com
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Posted 2007-01-14 06:17:06 By Jose Nuñez
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