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Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval etc.

2 votes

Using local outlier factor score to detect outliers at run time

You should find an appropriate threshold of the LOF score, above which the point will be considered as an outlier. Typically, a point with score below 1 is considered as normal (non-outlier), but the …
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Predicting which apps users may be interested in

Broadly speaking, what you want is a recommender system. If you consider only the user-app association data (app installs, likes, etc.), and no user or app metadata, then you should look at collaborat …
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1 vote

Is there any clustering algorithm to find longest continuous subsequences?

What might help is a custom distance computation as input to the clustering algorithm. These algorithms usually take Euclidean distance as a measure of dissimilarity. …
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