On moving to good homes and organizations for you and me: Where are we, and why are we clustered where we are?
We should think about being in places where we like. And this is true for both organizations and homes for private people. And clustering processes and clustering structures are things we are used when living next to each other. And we should use the service that we just appreciate!
We should have new technology, innovative environments and changes where-ever we are. We are living in 2021 now, and we should have clustering approaches where we find the informants having power and information sources as we have. We need places to live in big cities and big towns, and we also need it in the villages. And if you are working in Oslo, you should think of Floro and Oppdal and many other places. We are living in a country called for Norway, and all of us need to take care of all places where people are. And we are living and working, and we are using our bodies to do things as they are done. Cluster analysis is the places where we are, either these places are in business life or in private life. We are operating where we like, and some like to be where there are many firms, and some want many private people.
What do we need centrally and locally at many places? We need infrastructure, transport, hospitals, schools, colleges, universities and kindergartners. And we need properly roads, and autonomous vehicles, and many more things. People want to live there there are opportunities, and where we can get satisfaction. Cluster analysis means that we are living and working in clusters about where we are, and why we are as we are. And knowing now, knowing how to know now, and knowing what you know and finding knowledges and good things in life, are something we just want to have and to apply. Clusters are just places where we are, and we need to structure our lives where we want to be. And there can be many people, appropriate people, and few people where we are.
Cluster analysis is an exploratory analysis that tries to identify structures within the data. Cluster analysis is also called segmentation analysis or taxonomy analysis. More specifically, it tries to identify homogenous groups of cases if the grouping is not previously known. Cluster analysis is targeting marketing, and hence we need to find people and firms in the ways they are operated together as patterns. And we need to treat different groups in the ways where they are.
Clustering is important in data analysis and data mining applications. It is the task of grouping a set of objects so that objects in the same group are more similar to each other than to those in other groups (clusters). Hierarchical clustering is the connectivity based clustering. And we are using clustering analysis since people act differently and similarly to each other. And we can use many ways of programming human behavior. And the professors Ragnar Frisch and Jan Tinbergen were active in using this way of thinking in Economics. And we can use cluster analysis in all behavior, and as living humans we are doing things in the same ways and in the different ways every day!
And in markets, people and organizations are similar to each other, and some are different. And we are doing much similar things in life, but some people and organizations are just doing things differently, since no humans have an exact knowledge about what life is. And when doing targeting marketing, we need psychology, philosophy and sociology!
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Sverre Larsen
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