Data mining is the process of analyzing large amounts of data in order to find patterns and commonalities.
Just want to clarify one thing: the same attribute can appear in decision tree for many times as long as …
machine-learning data-mining decision-treeI am trying to solve some classification problem. It seems many classical approaches follow a similar paradigm. That is, train …
machine-learning data-miningHow to express the cosine similarity ( http://en.wikipedia.org/wiki/Cosine_similarity ) when one of the vectors is all …
machine-learning cluster-analysis data-mining cosine-similarityI am using the C50 decision tree algorithm. I am able to build the tree and get the summaries, but …
r plot visualization data-mining decision-treeI need to find naturally occurring classes of nouns based on their distribution with different preposition (like agentive, instrumental, time, …
data-mining cluster-analysis dbscanVectors like this v1 = {0 0 0 1 1 0 0 1 0 1 1} v2 = {0 1 1 1 1 1 0 1 0 1 0} v3 = {0 0 0 0 0 0 0 0 0 0 1} Need to calculate similarity between them. Hamming distance between v1 and v2 is 4 and …
vector data-mining similarity hamming-distanceShould the input to sklearn.clustering.DBSCAN be pre-processeed? In the example http://scikit-learn.org/stable/auto_examples/cluster/plot_…
scikit-learn cluster-analysis data-mining dbscanAs a newbie in Machine Learning, I have a set of trajectories that may be of different lengths. I wish …
algorithm machine-learning cluster-analysis data-miningI was talking with a co-worker yesterday regarding a situation where he used SSIS (or something like that) to do …
ssis business-intelligence data-miningi am new to data mining and confuse about Association rules and frequent item mining. for me i think both …
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