Several weeks ago I posted an article called, What is Predictive Analytics, describing what it is. In the present article, I want to talk about the skills and tools that one should […]

## K-Means Clustering using R

The Algorithm K-means (MacQueen, 1967) is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. It is a method of vector quantization, originally from signal processing, that is […]

## Insights from R Users

Partial Results of the 2011 Survey Copyright © 2011 Rexer Analytics The following is a excerpt from 5th Annual Survey (2011) conducted by Rexer Analytics. This is a partial list of insights […]

## What is Multivariate Analysis? Part II: Principal Component Analysis

Principal Component Analysis The purpose of principal component analysis is to find the best low-dimensional representation of the variation in a multivariate data set. For example, in the case of the wine […]

## What is Time Series Analysis, Part II

In my last article I talked about Time Series Analysis using R and left with simple exponential smoothing. Here I want to talk about more advanced smoothing methods. Holt’s Exponential Smoothing If […]

## What is Time Series Analysis? Part I

This article shows you how to use the R statistical software to carry out some simple analyses that are common in analyzing time series data. If the reader has some basic knowledge […]

## Data Fitting with R

What is Data Fitting? Introduction Fitting distributions consists of finding a mathematical function which represents a statistical variable. Data scientists and statisticians are often faced with this problem: they have some observations […]