Data mining is the process of analyzing large amounts of data in order to find patterns and commonalities.
Can anybody explain what the output of the K-Means clustering in WEKA actually means. For example kMeans Number of iterations: 9 …
cluster-analysis data-mining weka k-meansIn open source data mining software Weka (written in Java), when I run some data mining algorithm like Linear regression …
machine-learning data-mining wekaIn least-squares models, the cost function is defined as the square of the difference between the predicted value and the …
machine-learning data-mining regressionWhen we calculate the F-Measure considering both Precision and Recall, we take the harmonic mean of the two measures instead …
machine-learning classification data-miningI'm doing a project for a college class I'm taking. I'm using PHP to build a simple web app that …
php nlp data-mining nltk wekaI am using DBSCAN to cluster some data using Scikit-Learn (Python 2.7): from sklearn.cluster import DBSCAN dbscan = DBSCAN(random_state=0) …
scikit-learn cluster-analysis data-mining predict dbscanA few questions on stackoverflow mention this problem, but I haven't found a concrete solution. I have a square matrix …
python math scikit-learn cluster-analysis data-miningI'm working on a data mining algorithm where i want to pick a random direction from a particular point in …
random distribution data-mining computational-geometry uniformThroughout my academic years in computer science I fell in love with many aspects of artificial intelligence. From expert systems, …
artificial-intelligence neural-network data-miningI'm working with some large transactions data. I've been using read.transactions and apriori (parts of the arules package) to …
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