This is a continuation of the cluster analysis puzzle. In this puzzle, we had noticed different results for k-mean clusters in different runs. Some of you (Emily. Ramya, Alard, and Pintu) have pointed out initial random seeds as the reason for this inconsistency. Now, this inconsistency of results is a big problem for cluster analysis. In this
Cluster analysis is a powerful analytical technique to group or segment identical elements i.e. customers, products etc. In this series of articles, you will explore nuances of cluster analysis and its applications. Analytics challenges, on YOU CANalytics, are designed like puzzles where your participation is extremely important to move things forward. Hence, please share your
Data Analytics Challenge 1 – The Shady Gambler This is the final part of the first data analytics challenge on YOU CANalytics. You could find the previous parts at these links: Part-1 & Part-2. As mentioned earlier, these challenges require your participation for the investigation to move ahead. You had some really good discussions in the previous parts: Discussion Part 1 &
Sometimes answers lead to more questions. In data science this sometime is true almost everytime. Analytics Challenge – The Shady Gamble In the previous article, you were approached by Scotland Yard to investigate charges against a gambler with dubious character. The allegation against him was that he had loaded his die so that some numbers
Data! data! data!” he cried impatiently. “I can’t make bricks without clay. – Sherlock Holmes In this article, we are starting a new series on YOU CANalytics that can’t proceed without your participation to solve the data analytics mysteries. In the beginning of each article of this series, you will get a problem that needs you