Glosario de términos estadísticos: definición Cluster analysis

The cluster analysis separates elements from a sample into groups called clusters. This process is carried out after the collection of the data. Features like demographic data, attitudes and so forth can be utilized in order to divide the data with the aim that elements within each cluster have similar properties. At the same time, the aim is to find the maximum difference between the clusters within the investigation. A comparison can then be carried out between the clusters.

The cluster analysis is often used in the field of market research in order to identify different types of buyers on the basis of their consumption habits. For example: taking 15 questions into account on the subject of sport, four clusters are formed (sports enthusiasts, those with a basic sports interest, opportunistic sportsmen and those not interested in sport). These four groups will be used to determine how and where different types of athletes buy sporting goods. One result could be, for example, that sports enthusiasts prove the most eager to try and test a new product – they are willing to pay higher prices to purchase it. Those with a basic sports interest are more selective in their choice, carefully browsing the internet to make their choice and paying more attention to what they eventually end up paying. A company dedicated to sports enthusiasts therefore invests more in an attractive showroom and scraps its plans for an online shop.

Tenga en cuenta que las entradas de nuestro glosario son explicaciones simplificadas de términos estadísticos. Nuestro objetivo es hacerlo accesible para un público amplio, así que puede que algunas definiciones no cumplan los estándares científicos.

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