Has QUIT--Anony-Mousse's user avatar
Has QUIT--Anony-Mousse's user avatar
Has QUIT--Anony-Mousse's user avatar
Has QUIT--Anony-Mousse
  • Member for 10 years, 11 months
  • Last seen more than 2 years ago
347 votes
Accepted

How to understand the drawbacks of K-means

75 votes

Clustering with K-Means and EM: how are they related?

61 votes

Why does k-means clustering algorithm use only Euclidean distance metric?

61 votes

Determine different clusters of 1d data from database

60 votes

Euclidean distance is usually not good for sparse data (and more general case)?

51 votes

Why is Euclidean distance not a good metric in high dimensions?

45 votes
Accepted

Dynamic Time Warping Clustering

30 votes

Is it important to scale data before clustering?

29 votes
Accepted

Perform K-means (or its close kin) clustering with only a distance matrix, not points-by-features data

28 votes
Accepted

Curse of dimensionality- does cosine similarity work better and if so, why?

26 votes
Accepted

Using correlation as distance metric (for hierarchical clustering)

26 votes
Accepted

Can someone please explain dynamic time warping for determining time series similarity?

25 votes

If k-means clustering is a form of Gaussian mixture modeling, can it be used when the data are not normal?

24 votes
Accepted

Is cosine similarity a classification or a clustering technique?

21 votes
Accepted

Can K-fold cross validation cause overfitting?

21 votes
Accepted

Reason to normalize in euclidean distance measures in hierarchical clustering

19 votes

Are there cases where PCA is more suitable than t-SNE?

18 votes
Accepted

usefulness of k-means clustering on high dimensional data

18 votes

k-means vs k-median?

17 votes
Accepted

What to do when sample covariance matrix is not invertible?

16 votes
Accepted

A routine to choose eps and minPts for DBSCAN

15 votes

Assumption of equal size of clusters in clustering

15 votes

Evaluation measures of goodness or validity of clustering (without having truth labels)

14 votes

How to understand the drawbacks of Hierarchical Clustering?

14 votes

Is there a decision-tree-like algorithm for unsupervised clustering?

14 votes

What is the difference between data mining, statistics, machine learning and AI?

14 votes

Interpreting result of k-means clustering in R

13 votes
Accepted

Clustering with categorical and numeric data

13 votes

Choosing the number of clusters in hierarchical agglomerative clustering

12 votes

Fast linear regression robust to outliers

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