Data mining is the process of analyzing large amounts of data in order to find patterns and commonalities.
I am a freshman in LDA and I want to use it in my work. However, some problems appear. In …
nlp data-mining ldaI have a dataset consisting of 70,000 numeric values representing distances ranging from 0 till 50, and I want to cluster these numbers; …
r machine-learning bigdata cluster-analysis data-miningI've been using the ada R package for a while, and more recently, caret. According to the documentation, caret's train() …
r machine-learning data-mining classification adaboostI have what feels like a simple problem, but I can't seem to find an answer. I'm pretty new to …
cluster-analysis data-mining weka k-meansIn a follow-up to this answer I want to ask if any of you know any good (and more importantly …
machine-learning data-mining wekaI've imported a datset into Rapidminer 5 and one of the columns that was supposed to be nominal or polynomial was …
data-mining rapidminerCan anyone point me to a hierarchical clustering tool (preferable in python) that can cluster ~1 Million objects? I have tried …
python machine-learning cluster-analysis data-mining hierarchical-clusteringI'm due to take up a project which is into data mining. Before I jump in I wanted to probe …
open-source data-miningI could use some advice on methods in R to determine the optimal number of clusters and later on describe …
r data-mining cluster-analysisI am currently building an application in R to calculate the QR matrix decomposition, the QR non negative matrix decomposition …
r data-mining qr-decomposition