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0 votes
0 answers
82 views

Agglomerative ward linkage criteria

I am asking about ward linkage criteria how can i computing it ? i understand that single linkage merge the two clusters that have minimum distance and complete linkage merge the clusters have maximum ...
lena's user avatar
  • 727
0 votes
1 answer
31 views

Can the parent nodes of clusters formed using disjoint set forest be used as cluster representative?

The intention is to merge clusters which have similarity higher than the Jaccard similarity based on pairwise comparison of cluster representative. My logic here is that because the child nodes are ...
z3r0's user avatar
  • 3
-2 votes
1 answer
902 views

Which algorithm can handle multiple columns as response variables? [closed]

I am trying to build a cross selling model where I have customers and some of their attributes along with the products that they have bought. SO basically I will be having multiple response variables ...
Digvijay Sawant's user avatar
0 votes
1 answer
77 views

Is that possible that we use bagging on the combination of a decision tree and a linear separator?

Is that possible that we use bagging on the combination of a decision tree and a linear separator? I know bagging could be used for the decision tree or linear separator individually. but how about ...
Tianyi Ni's user avatar
0 votes
4 answers
2k views

Algorithm that finds similar words based on their letters

I am looking for a way to detect the similarity of words (textstrings) based on their shared letters. I was looking into Hash functions and especially the Rabin-Karp algorithm to find similar words ...
Herka's user avatar
  • 707
-3 votes
2 answers
452 views

Machine Learning: NBA data to find MVP of season

I want to use NBA data to find the MVP for a particular season. I was looking at a couple of algorithms like Neural Networks, AdaBoost, Random Forest, and Decision Trees. I really want to use AdaBoost ...
GetYourWeightUp's user avatar
1 vote
3 answers
4k views

Writing own kmeans algorithm in R

I am trying to write my first own kmeans algorithm in R. I am new in this field, so please don't judge me for don't seeing the obvious. In its current state, the algorithm takes two vectors x, y, ...
ash bounty's user avatar
0 votes
0 answers
37 views

Name for this adaptive weight updating rule?

I have the following adaptive weight updating rule. The intuition is when recent samples are normal, gradually decrease the weight. When an abnormal occurred, increase the weight by a constant number....
Zhonghua Xi's user avatar
1 vote
1 answer
228 views

What is the meaning of this paragraph of code for calculating auc in ctr prediction?

Please forgive me for my broken English. This is the code. def scoreClickAUC(num_clicks, num_impressions, predicted_ctr): """ Calculates the area under the ROC curve (AUC) for click ...
Jishi yu's user avatar
0 votes
2 answers
128 views

Clustering+Regression-the right approach or not?

I have a task of prognosing the quickness of selling goods (for example, in one category). E.g, the client inputs the price that he wants his item to be sold and the algorithm should displays that it ...
Keithx's user avatar
  • 3,158
-1 votes
1 answer
29 views

Determininig Association Rules with a given item set

Im trying to learn how to generate associate rules. If I say for example i have an item set (a1=yes,b2=yellow, x3=round)? what kind of rules would be generated.
chris551's user avatar
1 vote
2 answers
2k views

Clustering algorithms for strings

I have to implement a module in which i need to group sentences(strings) having similar meaning into different clusters. I read about k-means , EM clustering etc. But the problem which i am facing is ...
Tanay Narkhede's user avatar
0 votes
1 answer
74 views

algorithm to find blocks of trends

Let's say I have a a 24 lines of data, such that each line represents an hour in the day. What I want to achieve is to implement an algorithm that can detect trends in the data and can divide it into ...
user3623176's user avatar
14 votes
2 answers
12k views

What is stratified bootstrap?

I have learned bootstrap and stratification. But what is stratified bootstrap? And how does it work? Let's say we have a dataset of n instances (observations), and m is the number of classes. How ...
Kevin217's user avatar
  • 752
-3 votes
1 answer
152 views

Community detection: Any algorithm that assigns a person to multiple communities?

I feel in some cases it is reasonable for a person to be assigned to multiple communities. For example in the science field a professor may work in multiple research areas. Is there an algorithm that ...
nobody's user avatar
  • 835

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