| 2007 |
|---|
| 9 | EE | Amir Ahmad,
Lipika Dey:
A k-mean clustering algorithm for mixed numeric and categorical data.
Data Knowl. Eng. 63(2): 503-527 (2007) |
| 8 | EE | Amir Ahmad,
Lipika Dey:
A method to compute distance between two categorical values of same attribute in unsupervised learning for categorical data set.
Pattern Recognition Letters 28(1): 110-118 (2007) |
| 2005 |
|---|
| 7 | EE | Amir Ahmad,
Lipika Dey:
Algorithm for Fuzzy Clustering of Mixed Data with Numeric and Categorical Attributes.
ICDCIT 2005: 561-572 |
| 6 | EE | Lipika Dey,
Amir Ahmad,
Sachin Kumar:
Finding Interesting Rules Exploiting Rough Memberships.
PReMI 2005: 732-737 |
| 5 | EE | Amir Ahmad,
Lipika Dey:
A feature selection technique for classificatory analysis.
Pattern Recognition Letters 26(1): 43-56 (2005) |
| 2004 |
|---|
| 4 | EE | Shehroz S. Khan,
Amir Ahmad:
Cluster center initialization algorithm for K-means clustering.
Pattern Recognition Letters 25(11): 1293-1302 (2004) |
| 2003 |
|---|
| 3 | | Amir Ahmad,
Shehroz S. Khan:
Generating K-Prototype Points for Unsupervised Learning.
IICAI 2003: 1320-1327 |
| 2 | | Lipika Dey,
Nitish Jain,
Nishta Dhawan,
Amir Ahmad:
A Co-occurrence Based Clustering Algorithm for Categorical Data.
IICAI 2003: 479-492 |
| 2002 |
|---|
| 1 | | Amir Ahmad,
Lipika Dey:
Attribute Selection for Classificatory Analysis Using a Probabilistic Approach.
ICVGIP 2002 |
