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  • Conferences, User Groups, and Seminars Q3 and Q4 2016

    I am closing my plan for the second semester of this year. Before listing the events I plan to attend, just a quick comment. I had conversation about some specific events and why don’t I visit them many times, especially about the events in vicinity. My answer is pretty simple. I try to plan my events for six months in advance. My schedule for the ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on July 19, 2016
  • Data Mining Algorithms – EM Clustering

    With the K-Means algorithm, each object is assigned to exactly one cluster. It is assigned to this cluster with a probability equal to 1.0. It is assigned to all other clusters with a probability equal to 0.0. This is hard clustering. Instead of distance, you can use a probabilistic measure to determine cluster membership. For example, you can ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on May 12, 2015
  • Data Mining Algorithms – K-Means Clustering

    Hierarchical clustering could be very useful because it is easy to see the optimal number of clusters in a dendrogram and because the dendrogram visualizes the clusters and the process of building of that clusters. However, hierarchical methods don’t scale well. Just imagine how cluttered a dendrogram would be if 10,000 cases would be shown on ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on April 17, 2015
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